technology in education problems

Image credit: Kristina Closs

Technology might be making education worse

Listen to the essay, as read by Antero Garcia, associate professor in the Graduate School of Education.

As a professor of education and a former public school teacher, I’ve seen digital tools change lives in schools.

I’ve documented the ways mobile technology like phones can transform student engagement in my own classroom.

I’ve explored how digital tools might network powerful civic learning and dialogue for classrooms across the country – elements of education that are crucial for sustaining our democracy today.

And, like everyone, I’ve witnessed digital technologies make schooling safer in the midst of a global pandemic. Zoom and Google Classroom, for instance, allowed many students to attend classrooms virtually during a period when it was not feasible to meet in person.

So I want to tell you that I think technologies are changing education for the better and that we need to invest more in them – but I just can’t.

Given the substantial amount of scholarly time I’ve invested in documenting the life-changing possibilities of digital technologies, it gives me no pleasure to suggest that these tools might be slowly poisoning us. Despite their purported and transformational value, I’ve been wondering if our investment in educational technology might in fact be making our schools worse.

Let me explain.

When I was a classroom teacher, I loved relying on the latest tools to create impressive and immersive experiences for my students. We would utilize technology to create class films, produce social media profiles for the Janie Crawfords, the Holden Caulfields, and other literary characters we studied, and find playful ways to digitally share our understanding of the ideas we studied in our classrooms.

As a teacher, technology was a way to build on students’ interests in pop culture and the world around them. This was exciting to me.

But I’ve continued to understand that the aspects of technology I loved weren’t actually about technology at all – they were about creating authentic learning experiences with young people. At the heart of these digital explorations were my relationships with students and the trust we built together.

“Part of why I’ve grown so skeptical about this current digital revolution is because of how these tools reshape students’ bodies and their relation to the world around them.”

I do see promise in the suite of digital tools that are available in classrooms today. But my research focus on platforms – digital spaces like Amazon, Netflix, and Google that reshape how users interact in online environments – suggests that when we focus on the trees of individual tools, we ignore the larger forest of social and cognitive challenges.

Most people encounter platforms every day in their online social lives. From the few online retail stores where we buy groceries to the small handful of sites that stream our favorite shows and media content, platforms have narrowed how we use the internet today to a small collection of Silicon Valley behemoths. Our social media activities, too, are limited to one or two sites where we check on the updates, photos, and looped videos of friends and loved ones.

These platforms restrict our online and offline lives to a relatively small number of companies and spaces – we communicate with a finite set of tools and consume a set of media that is often algorithmically suggested. This centralization of internet – a trend decades in the making – makes me very uneasy.

From willfully hiding the negative effects of social media use for vulnerable populations to creating tools that reinforce racial bias, today’s platforms are causing harm and sowing disinformation for young people and adults alike. The deluge of difficult ethical and pedagogical questions around these tools are not being broached in any meaningful way in schools – even adults aren’t sure how to manage their online lives.

You might ask, “What does this have to do with education?” Platforms are also a large part of how modern schools operate. From classroom management software to attendance tracking to the online tools that allowed students to meet safely during the pandemic, platforms guide nearly every student interaction in schools today. But districts are utilizing these tools without considering the wider spectrum of changes that they have incurred alongside them.

Antero Garcia, associate professor of education (Image credit: Courtesy Antero Garcia)

For example, it might seem helpful for a school to use a management tool like Classroom Dojo (a digital platform that can offer parents ways to interact with and receive updates from their family’s teacher) or software that tracks student reading and development like Accelerated Reader for day-to-day needs. However, these tools limit what assessment looks like and penalize students based on flawed interpretations of learning.

Another problem with platforms is that they, by necessity, amass large swaths of data. Myriad forms of educational technology exist – from virtual reality headsets to e-readers to the small sensors on student ID cards that can track when students enter schools. And all of this student data is being funneled out of schools and into the virtual black boxes of company databases.

Part of why I’ve grown so skeptical about this current digital revolution is because of how these tools reshape students’ bodies and their relation to the world around them. Young people are not viewed as complete human beings but as boxes checked for attendance, for meeting academic progress metrics, or for confirming their location within a school building. Nearly every action that students perform in schools – whether it’s logging onto devices, accessing buildings, or sharing content through their private online lives – is noticed and recorded. Children in schools have become disembodied from their minds and their hearts. Thus, one of the greatest and implicit lessons that kids learn in schools today is that they must sacrifice their privacy in order to participate in conventional, civic society.

The pandemic has only made the situation worse. At its beginnings, some schools relied on software to track students’ eye movements, ostensibly ensuring that kids were paying attention to the tasks at hand. Similarly, many schools required students to keep their cameras on during class time for similar purposes. These might be seen as in the best interests of students and their academic growth, but such practices are part of a larger (and usually more invisible) process of normalizing surveillance in the lives of youth today.

I am not suggesting that we completely reject all of the tools at our disposal – but I am urging for more caution. Even the seemingly benign resources we might use in our classrooms today come with tradeoffs. Every Wi-Fi-connected, “smart” device utilized in schools is an investment in time, money, and expertise in technology over teachers and the teaching profession.

Our focus on fixing or saving schools via digital tools assumes that the benefits and convenience that these invisible platforms offer are worth it.

But my ongoing exploration of how platforms reduce students to quantifiable data suggests that we are removing the innovation and imagination of students and teachers in the process.

Antero Garcia is associate professor of education in the Graduate School of Education .

In Their Own Words is a collaboration between the Stanford Public Humanities Initiative  and Stanford University Communications.

If you’re a Stanford faculty member (in any discipline or school) who is interested in writing an essay for this series, please reach out to Natalie Jabbar at [email protected] .

New global data reveal education technology’s impact on learning

The promise of technology in the classroom is great: enabling personalized, mastery-based learning; saving teacher time; and equipping students with the digital skills they will need  for 21st-century careers. Indeed, controlled pilot studies have shown meaningful improvements in student outcomes through personalized blended learning. 1 John F. Pane et al., “How does personalized learning affect student achievement?,” RAND Corporation, 2017, rand.org. During this time of school shutdowns and remote learning , education technology has become a lifeline for the continuation of learning.

As school systems begin to prepare for a return to the classroom , many are asking whether education technology should play a greater role in student learning beyond the immediate crisis and what that might look like. To help inform the answer to that question, this article analyzes one important data set: the 2018 Programme for International Student Assessment (PISA), published in December 2019 by the Organisation for Economic Co-operation and Development (OECD).

Every three years, the OECD uses PISA to test 15-year-olds around the world on math, reading, and science. What makes these tests so powerful is that they go beyond the numbers, asking students, principals, teachers, and parents a series of questions about their attitudes, behaviors, and resources. An optional student survey on information and communications technology (ICT) asks specifically about technology use—in the classroom, for homework, and more broadly.

In 2018, more than 340,000 students in 51 countries took the ICT survey, providing a rich data set for analyzing key questions about technology use in schools. How much is technology being used in schools? Which technologies are having a positive impact on student outcomes? What is the optimal amount of time to spend using devices in the classroom and for homework? How does this vary across different countries and regions?

From other studies we know that how education technology is used, and how it is embedded in the learning experience, is critical to its effectiveness. This data is focused on extent and intensity of use, not the pedagogical context of each classroom. It cannot therefore answer questions on the eventual potential of education technology—but it can powerfully tell us the extent to which that potential is being realized today in classrooms around the world.

Five key findings from the latest results help answer these questions and suggest potential links between technology and student outcomes:

• The type of device matters—some are associated with worse student outcomes.
• Geography matters—technology is associated with higher student outcomes in the United States than in other regions.
• Who is using the technology matters—technology in the hands of teachers is associated with higher scores than technology in the hands of students.
• Intensity matters—students who use technology intensely or not at all perform better than those with moderate use.
• A school system’s current performance level matters—in lower-performing school systems, technology is associated with worse results.

This analysis covers only one source of data, and it should be interpreted with care alongside other relevant studies. Nonetheless, the 2018 PISA results suggest that systems aiming to improve student outcomes should take a more nuanced and cautious approach to deploying technology once students return to the classroom. It is not enough add devices to the classroom, check the box, and hope for the best.

What can we learn from the latest PISA results?

How will the use, and effectiveness, of technology change post-covid-19.

The PISA assessment was carried out in 2018 and published in December 2019. Since its publication, schools and students globally have been quite suddenly thrust into far greater reliance on technology. Use of online-learning websites and adaptive software has expanded dramatically. Khan Academy has experienced a 250 percent surge in traffic; smaller sites have seen traffic grow fivefold or more. Hundreds of thousands of teachers have been thrown into the deep end, learning to use new platforms, software, and systems. No one is arguing that the rapid cobbling together of remote learning under extreme time pressure represents best-practice use of education technology. Nonetheless, a vast experiment is underway, and innovations often emerge in times of crisis. At this point, it is unclear whether this represents the beginning of a new wave of more widespread and more effective technology use in the classroom or a temporary blip that will fade once students and teachers return to in-person instruction. It is possible that a combination of software improvements, teacher capability building, and student familiarity will fundamentally change the effectiveness of education technology in improving student outcomes. It is also possible that our findings will continue to hold true and technology in the classroom will continue to be a mixed blessing. It is therefore critical that ongoing research efforts track what is working and for whom and, just as important, what is not. These answers will inform the project of reimagining a better education for all students in the aftermath of COVID-19.

PISA data have their limitations. First, these data relate to high-school students, and findings may not be applicable in elementary schools or postsecondary institutions. Second, these are single-point observational data, not longitudinal experimental data, which means that any links between technology and results should be interpreted as correlation rather than causation. Third, the outcomes measured are math, science, and reading test results, so our analysis cannot assess important soft skills and nonacademic outcomes.

It is also worth noting that technology for learning has implications beyond direct student outcomes, both positive and negative. PISA cannot address these broader issues, and neither does this paper.

But PISA results, which we’ve broken down into five key findings, can still provide powerful insights. The assessment strives to measure the understanding and application of ideas, rather than the retention of facts derived from rote memorization, and the broad geographic coverage and sample size help elucidate the reality of what is happening on the ground.

Finding 1: The type of device matters

The evidence suggests that some devices have more impact than others on outcomes (Exhibit 1). Controlling for student socioeconomic status, school type, and location, 2 Specifically, we control for a composite indicator for economic, social, and cultural status (ESCS) derived from questions about general wealth, home possessions, parental education, and parental occupation; for school type “Is your school a public or a private school” (SC013); and for school location (SC001) where the options are a village, hamlet or rural area (fewer than 3,000 people), a small town (3,000 to about 15,000 people), a town (15,000 to about 100,000 people), a city (100,000 to about 1,000,000 people), and a large city (with more than 1,000,000 people). the use of data projectors 3 A projector is any device that projects computer output, slides, or other information onto a screen in the classroom. and internet-connected computers in the classroom is correlated with nearly a grade-level-better performance on the PISA assessment (assuming approximately 40 PISA points to every grade level). 4 Students were specifically asked (IC009), “Are any of these devices available for you to use at school?,” with the choices being “Yes, and I use it,” “Yes, but I don’t use it,” and “No.” We compared the results for students who have access to and use each device with those who do not have access. The full text for each device in our chart was as follows: Data projector, eg, for slide presentations; Internet-connected school computers; Desktop computer; Interactive whiteboard, eg, SmartBoard; Portable laptop or notebook; and Tablet computer, eg, iPad, BlackBerry PlayBook.

On the other hand, students who use laptops and tablets in the classroom have worse results than those who do not. For laptops, the impact of technology varies by subject; students who use laptops score five points lower on the PISA math assessment, but the impact on science and reading scores is not statistically significant. For tablets, the picture is clearer—in every subject, students who use tablets in the classroom perform a half-grade level worse than those who do not.

Some technologies are more neutral. At the global level, there is no statistically significant difference between students who use desktop computers and interactive whiteboards in the classroom and those who do not.

Finding 2: Geography matters

Looking more closely at the reading results, which were the focus of the 2018 assessment, 5 PISA rotates between focusing on reading, science, and math. The 2018 assessment focused on reading. This means that the total testing time was two hours for each student, of which one hour was reading focused. we can see that the relationship between technology and outcomes varies widely by country and region (Exhibit 2). For example, in all regions except the United States (representing North America), 6 The United States is the only country that took the ICT Familiarity Questionnaire survey in North America; thus, we are comparing it as a country with the other regions. students who use laptops in the classroom score between five and 12 PISA points lower than students who do not use laptops. In the United States, students who use laptops score 17 PISA points higher than those who do not. It seems that US students and teachers are doing something different with their laptops than those in other regions. Perhaps this difference is related to learning curves that develop as teachers and students learn how to get the most out of devices. A proxy to assess this learning curve could be penetration—71 percent of US students claim to be using laptops in the classroom, compared with an average of 37 percent globally. 7 The rate of use excludes nulls. The United States measures higher than any other region in laptop use by students in the classroom. US = 71 percent, Asia = 40 percent, EU = 35 percent, Latin America = 31 percent, MENA = 21 percent, Non-EU Europe = 41 percent. We observe a similar pattern with interactive whiteboards in non-EU Europe. In every other region, interactive whiteboards seem to be hurting results, but in non-EU Europe they are associated with a lift of 21 PISA points, a total that represents a half-year of learning. In this case, however, penetration is not significantly higher than in other developed regions.

Finding 3: It matters whether technology is in the hands of teachers or students

The survey asks students whether the teacher, student, or both were using technology. Globally, the best results in reading occur when only the teacher is using the device, with some benefit in science when both teacher and students use digital devices (Exhibit 3). Exclusive use of the device by students is associated with significantly lower outcomes everywhere. The pattern is similar for science and math.

Again, the regional differences are instructive. Looking again at reading, we note that US students are getting significant lift (three-quarters of a year of learning) from either just teachers or teachers and students using devices, while students alone using a device score significantly lower (half a year of learning) than students who do not use devices at all. Exclusive use of devices by the teacher is associated with better outcomes in Europe too, though the size of the effect is smaller.

Finding 4: Intensity of use matters

PISA also asked students about intensity of use—how much time they spend on devices, 8 PISA rotates between focusing on reading, science, and math. The 2018 assessment focused on reading. This means that the total testing time was two hours for each student, of which one hour was reading focused. both in the classroom and for homework. The results are stark: students who either shun technology altogether or use it intensely are doing better, with those in the middle flailing (Exhibit 4).

The regional data show a dramatic picture. In the classroom, the optimal amount of time to spend on devices is either “none at all” or “greater than 60 minutes” per subject per week in every region and every subject (this is the amount of time associated with the highest student outcomes, controlling for student socioeconomic status, school type, and location). In no region is a moderate amount of time (1–30 minutes or 31–60 minutes) associated with higher student outcomes. There are important differences across subjects and regions. In math, the optimal amount of time is “none at all” in every region. 9 The United States is the only country that took the ICT Familiarity Questionnaire survey in North America; thus, we are comparing it as a country with the other regions. In reading and science, however, the optimal amount of time is greater than 60 minutes for some regions: Asia and the United States for reading, and the United States and non-EU Europe for science.

The pattern for using devices for homework is slightly less clear cut. Students in Asia, the Middle East and North Africa (MENA), and non-EU Europe score highest when they spend “no time at all” on devices for their homework, while students spending a moderate amount of time (1–60 minutes) score best in Latin America and the European Union. Finally, students in the United States who spend greater than 60 minutes are getting the best outcomes.

One interpretation of these data is that students need to get a certain familiarity with technology before they can really start using it to learn. Think of typing an essay, for example. When students who mostly write by hand set out to type an essay, their attention will be focused on the typing rather than the essay content. A competent touch typist, however, will get significant productivity gains by typing rather than handwriting.

Would you like to learn more about our Social Sector Practice ?

Finding 5: the school systems’ overall performance level matters.

Diving deeper into the reading outcomes, which were the focus of the 2018 assessment, we can see the magnitude of the impact of device use in the classroom. In Asia, Latin America, and Europe, students who spend any time on devices in their literacy and language arts classrooms perform about a half-grade level below those who spend none at all. In MENA, they perform more than a full grade level lower. In the United States, by contrast, more than an hour of device use in the classroom is associated with a lift of 17 PISA points, almost a half-year of learning improvement (Exhibit 5).

At the country level, we see that those who are on what we would call the “poor-to-fair” stage of the school-system journey 10 Michael Barber, Chinezi Chijoke, and Mona Mourshed, “ How the world’s most improved school systems keep getting better ,” November 2010. have the worst relationships between technology use and outcomes. For every poor-to-fair system taking the survey, the amount of time on devices in the classroom associated with the highest student scores is zero minutes. Good and great systems are much more mixed. Students in some very highly performing systems (for example, Estonia and Chinese Taipei) perform highest with no device use, but students in other systems (for example, Japan, the United States, and Australia) are getting the best scores with over an hour of use per week in their literacy and language arts classrooms (Exhibit 6). These data suggest that multiple approaches are effective for good-to-great systems, but poor-to-fair systems—which are not well equipped to use devices in the classroom—may need to rethink whether technology is the best use of their resources.

What are the implications for students, teachers, and systems?

Looking across all these results, we can say that the relationship between technology and outcomes in classrooms today is mixed, with variation by device, how that device is used, and geography. Our data do not permit us to draw strong causal conclusions, but this section offers a few hypotheses, informed by existing literature and our own work with school systems, that could explain these results.

First, technology must be used correctly to be effective. Our experience in the field has taught us that it is not enough to “add technology” as if it were the missing, magic ingredient. The use of tech must start with learning goals, and software selection must be based on and integrated with the curriculum. Teachers need support to adapt lesson plans to optimize the use of technology, and teachers should be using the technology themselves or in partnership with students, rather than leaving students alone with devices. These lessons hold true regardless of geography. Another ICT survey question asked principals about schools’ capacity using digital devices. Globally, students performed better in schools where there were sufficient numbers of devices connected to fast internet service; where they had adequate software and online support platforms; and where teachers had the skills, professional development, and time to integrate digital devices in instruction. This was true even accounting for student socioeconomic status, school type, and location.

COVID-19 and student learning in the United States: The hurt could last a lifetime

Second, technology must be matched to the instructional environment and context. One of the most striking findings in the latest PISA assessment is the extent to which technology has had a different impact on student outcomes in different geographies. This corroborates the findings of our 2010 report, How the world’s most improved school systems keep getting better . Those findings demonstrated that different sets of interventions were needed at different stages of the school-system reform journey, from poor-to-fair to good-to-great to excellent. In poor-to-fair systems, limited resources and teacher capabilities as well as poor infrastructure and internet bandwidth are likely to limit the benefits of student-based technology. Our previous work suggests that more prescriptive, teacher-based approaches and technologies (notably data projectors) are more likely to be effective in this context. For example, social enterprise Bridge International Academies equips teachers across several African countries with scripted lesson plans using e-readers. In general, these systems would likely be better off investing in teacher coaching than in a laptop per child. For administrators in good-to-great systems, the decision is harder, as technology has quite different impacts across different high-performing systems.

Third, technology involves a learning curve at both the system and student levels. It is no accident that the systems in which the use of education technology is more mature are getting more positive impact from tech in the classroom. The United States stands out as the country with the most mature set of education-technology products, and its scale enables companies to create software that is integrated with curricula. 11 Common Core State Standards sought to establish consistent educational standards across the United States. While these have not been adopted in all states, they cover enough states to provide continuity and consistency for software and curriculum developers. A similar effect also appears to operate at the student level; those who dabble in tech may be spending their time learning the tech rather than using the tech to learn. This learning curve needs to be built into technology-reform programs.

Taken together, these results suggest that systems that take a comprehensive, data-informed approach may achieve learning gains from thoughtful use of technology in the classroom. The best results come when significant effort is put into ensuring that devices and infrastructure are fit for purpose (fast enough internet service, for example), that software is effective and integrated with curricula, that teachers are trained and given time to rethink lesson plans integrating technology, that students have enough interaction with tech to use it effectively, and that technology strategy is cognizant of the system’s position on the school-system reform journey. Online learning and education technology are currently providing an invaluable service by enabling continued learning over the course of the pandemic; this does not mean that they should be accepted uncritically as students return to the classroom.

Jake Bryant is an associate partner in McKinsey’s Washington, DC, office; Felipe Child is a partner in the Bogotá office; Emma Dorn is the global Education Practice manager in the Silicon Valley office; and Stephen Hall is an associate partner in the Dubai office.

The authors wish to thank Fernanda Alcala, Sujatha Duraikkannan, and Samuel Huang for their contributions to this article.

Explore a career with us

Related articles.

Safely back to school after coronavirus closures

How the world’s most improved school systems keep getting better

Advertisement

Impacts of digital technologies on education and factors influencing schools' digital capacity and transformation: A literature review

• Published: 21 November 2022
• Volume 28 , pages 6695–6726, ( 2023 )

Cite this article

• Stella Timotheou 1 ,
• Ourania Miliou 1 ,
• Yiannis Dimitriadis 2 ,
• Sara Villagrá Sobrino 2 ,
• Nikoleta Giannoutsou 2 ,
• Romina Cachia 3 ,
• Alejandra Martínez Monés 2 &
• Andri Ioannou   ORCID: orcid.org/0000-0002-3570-6578 1  

46k Accesses

38 Citations

4 Altmetric

Explore all metrics

Digital technologies have brought changes to the nature and scope of education and led education systems worldwide to adopt strategies and policies for ICT integration. The latter brought about issues regarding the quality of teaching and learning with ICTs, especially concerning the understanding, adaptation, and design of the education systems in accordance with current technological trends. These issues were emphasized during the recent COVID-19 pandemic that accelerated the use of digital technologies in education, generating questions regarding digitalization in schools. Specifically, many schools demonstrated a lack of experience and low digital capacity, which resulted in widening gaps, inequalities, and learning losses. Such results have engendered the need for schools to learn and build upon the experience to enhance their digital capacity and preparedness, increase their digitalization levels, and achieve a successful digital transformation. Given that the integration of digital technologies is a complex and continuous process that impacts different actors within the school ecosystem, there is a need to show how these impacts are interconnected and identify the factors that can encourage an effective and efficient change in the school environments. For this purpose, we conducted a non-systematic literature review. The results of the literature review were organized thematically based on the evidence presented about the impact of digital technology on education and the factors that affect the schools’ digital capacity and digital transformation. The findings suggest that ICT integration in schools impacts more than just students’ performance; it affects several other school-related aspects and stakeholders, too. Furthermore, various factors affect the impact of digital technologies on education. These factors are interconnected and play a vital role in the digital transformation process. The study results shed light on how ICTs can positively contribute to the digital transformation of schools and which factors should be considered for schools to achieve effective and efficient change.

Similar content being viewed by others

A comprehensive AI policy education framework for university teaching and learning

Cecilia Ka Yuk Chan

Inclusive education: Developments and challenges in South Africa

Petra Engelbrecht

A systematic literature review of ICT integration in secondary education: what works, what does not, and what next?

Mgambi Msambwa Msafiri, Daniel Kangwa & Lianyu Cai

Avoid common mistakes on your manuscript.

1 Introduction

Digital technologies have brought changes to the nature and scope of education. Versatile and disruptive technological innovations, such as smart devices, the Internet of Things (IoT), artificial intelligence (AI), augmented reality (AR) and virtual reality (VR), blockchain, and software applications have opened up new opportunities for advancing teaching and learning (Gaol & Prasolova-Førland, 2021 ; OECD, 2021 ). Hence, in recent years, education systems worldwide have increased their investment in the integration of information and communication technology (ICT) (Fernández-Gutiérrez et al., 2020 ; Lawrence & Tar, 2018 ) and prioritized their educational agendas to adapt strategies or policies around ICT integration (European Commission, 2019 ). The latter brought about issues regarding the quality of teaching and learning with ICTs (Bates, 2015 ), especially concerning the understanding, adaptation, and design of education systems in accordance with current technological trends (Balyer & Öz, 2018 ). Studies have shown that despite the investment made in the integration of technology in schools, the results have not been promising, and the intended outcomes have not yet been achieved (Delgado et al., 2015 ; Lawrence & Tar, 2018 ). These issues were exacerbated during the COVID-19 pandemic, which forced teaching across education levels to move online (Daniel, 2020 ). Online teaching accelerated the use of digital technologies generating questions regarding the process, the nature, the extent, and the effectiveness of digitalization in schools (Cachia et al., 2021 ; König et al., 2020 ). Specifically, many schools demonstrated a lack of experience and low digital capacity, which resulted in widening gaps, inequalities, and learning losses (Blaskó et al., 2021 ; Di Pietro et al, 2020 ). Such results have engendered the need for schools to learn and build upon the experience in order to enhance their digital capacity (European Commission, 2020 ) and increase their digitalization levels (Costa et al., 2021 ). Digitalization offers possibilities for fundamental improvement in schools (OECD, 2021 ; Rott & Marouane, 2018 ) and touches many aspects of a school’s development (Delcker & Ifenthaler, 2021 ) . However, it is a complex process that requires large-scale transformative changes beyond the technical aspects of technology and infrastructure (Pettersson, 2021 ). Namely, digitalization refers to “ a series of deep and coordinated culture, workforce, and technology shifts and operating models ” (Brooks & McCormack, 2020 , p. 3) that brings cultural, organizational, and operational change through the integration of digital technologies (JISC, 2020 ). A successful digital transformation requires that schools increase their digital capacity levels, establishing the necessary “ culture, policies, infrastructure as well as digital competence of students and staff to support the effective integration of technology in teaching and learning practices ” (Costa et al, 2021 , p.163).

Given that the integration of digital technologies is a complex and continuous process that impacts different actors within the school ecosystem (Eng, 2005 ), there is a need to show how the different elements of the impact are interconnected and to identify the factors that can encourage an effective and efficient change in the school environment. To address the issues outlined above, we formulated the following research questions:

a) What is the impact of digital technologies on education?

b) Which factors might affect a school’s digital capacity and transformation?

In the present investigation, we conducted a non-systematic literature review of publications pertaining to the impact of digital technologies on education and the factors that affect a school’s digital capacity and transformation. The results of the literature review were organized thematically based on the evidence presented about the impact of digital technology on education and the factors which affect the schools’ digital capacity and digital transformation.

2 Methodology

The non-systematic literature review presented herein covers the main theories and research published over the past 17 years on the topic. It is based on meta-analyses and review papers found in scholarly, peer-reviewed content databases and other key studies and reports related to the concepts studied (e.g., digitalization, digital capacity) from professional and international bodies (e.g., the OECD). We searched the Scopus database, which indexes various online journals in the education sector with an international scope, to collect peer-reviewed academic papers. Furthermore, we used an all-inclusive Google Scholar search to include relevant key terms or to include studies found in the reference list of the peer-reviewed papers, and other key studies and reports related to the concepts studied by professional and international bodies. Lastly, we gathered sources from the Publications Office of the European Union ( https://op.europa.eu/en/home ); namely, documents that refer to policies related to digital transformation in education.

Regarding search terms, we first searched resources on the impact of digital technologies on education by performing the following search queries: “impact” OR “effects” AND “digital technologies” AND “education”, “impact” OR “effects” AND “ICT” AND “education”. We further refined our results by adding the terms “meta-analysis” and “review” or by adjusting the search options based on the features of each database to avoid collecting individual studies that would provide limited contributions to a particular domain. We relied on meta-analyses and review studies as these consider the findings of multiple studies to offer a more comprehensive view of the research in a given area (Schuele & Justice, 2006 ). Specifically, meta-analysis studies provided quantitative evidence based on statistically verifiable results regarding the impact of educational interventions that integrate digital technologies in school classrooms (Higgins et al., 2012 ; Tolani-Brown et al., 2011 ).

However, quantitative data does not offer explanations for the challenges or difficulties experienced during ICT integration in learning and teaching (Tolani-Brown et al., 2011 ). To fill this gap, we analyzed literature reviews and gathered in-depth qualitative evidence of the benefits and implications of technology integration in schools. In the analysis presented herein, we also included policy documents and reports from professional and international bodies and governmental reports, which offered useful explanations of the key concepts of this study and provided recent evidence on digital capacity and transformation in education along with policy recommendations. The inclusion and exclusion criteria that were considered in this study are presented in Table 1 .

To ensure a reliable extraction of information from each study and assist the research synthesis we selected the study characteristics of interest (impact) and constructed coding forms. First, an overview of the synthesis was provided by the principal investigator who described the processes of coding, data entry, and data management. The coders followed the same set of instructions but worked independently. To ensure a common understanding of the process between coders, a sample of ten studies was tested. The results were compared, and the discrepancies were identified and resolved. Additionally, to ensure an efficient coding process, all coders participated in group meetings to discuss additions, deletions, and modifications (Stock, 1994 ). Due to the methodological diversity of the studied documents we began to synthesize the literature review findings based on similar study designs. Specifically, most of the meta-analysis studies were grouped in one category due to the quantitative nature of the measured impact. These studies tended to refer to student achievement (Hattie et al., 2014 ). Then, we organized the themes of the qualitative studies in several impact categories. Lastly, we synthesized both review and meta-analysis data across the categories. In order to establish a collective understanding of the concept of impact, we referred to a previous impact study by Balanskat ( 2009 ) which investigated the impact of technology in primary schools. In this context, the impact had a more specific ICT-related meaning and was described as “ a significant influence or effect of ICT on the measured or perceived quality of (parts of) education ” (Balanskat, 2009 , p. 9). In the study presented herein, the main impacts are in relation to learning and learners, teaching, and teachers, as well as other key stakeholders who are directly or indirectly connected to the school unit.

The study’s results identified multiple dimensions of the impact of digital technologies on students’ knowledge, skills, and attitudes; on equality, inclusion, and social integration; on teachers’ professional and teaching practices; and on other school-related aspects and stakeholders. The data analysis indicated various factors that might affect the schools’ digital capacity and transformation, such as digital competencies, the teachers’ personal characteristics and professional development, as well as the school’s leadership and management, administration, infrastructure, etc. The impacts and factors found in the literature review are presented below.

3.1 Impacts of digital technologies on students’ knowledge, skills, attitudes, and emotions

The impact of ICT use on students’ knowledge, skills, and attitudes has been investigated early in the literature. Eng ( 2005 ) found a small positive effect between ICT use and students' learning. Specifically, the author reported that access to computer-assisted instruction (CAI) programs in simulation or tutorial modes—used to supplement rather than substitute instruction – could enhance student learning. The author reported studies showing that teachers acknowledged the benefits of ICT on pupils with special educational needs; however, the impact of ICT on students' attainment was unclear. Balanskat et al. ( 2006 ) found a statistically significant positive association between ICT use and higher student achievement in primary and secondary education. The authors also reported improvements in the performance of low-achieving pupils. The use of ICT resulted in further positive gains for students, namely increased attention, engagement, motivation, communication and process skills, teamwork, and gains related to their behaviour towards learning. Evidence from qualitative studies showed that teachers, students, and parents recognized the positive impact of ICT on students' learning regardless of their competence level (strong/weak students). Punie et al. ( 2006 ) documented studies that showed positive results of ICT-based learning for supporting low-achieving pupils and young people with complex lives outside the education system. Liao et al. ( 2007 ) reported moderate positive effects of computer application instruction (CAI, computer simulations, and web-based learning) over traditional instruction on primary school student's achievement. Similarly, Tamim et al. ( 2011 ) reported small to moderate positive effects between the use of computer technology (CAI, ICT, simulations, computer-based instruction, digital and hypermedia) and student achievement in formal face-to-face classrooms compared to classrooms that did not use technology. Jewitt et al., ( 2011 ) found that the use of learning platforms (LPs) (virtual learning environments, management information systems, communication technologies, and information- and resource-sharing technologies) in schools allowed primary and secondary students to access a wider variety of quality learning resources, engage in independent and personalized learning, and conduct self- and peer-review; LPs also provide opportunities for teacher assessment and feedback. Similar findings were reported by Fu ( 2013 ), who documented a list of benefits and opportunities of ICT use. According to the author, the use of ICTs helps students access digital information and course content effectively and efficiently, supports student-centered and self-directed learning, as well as the development of a creative learning environment where more opportunities for critical thinking skills are offered, and promotes collaborative learning in a distance-learning environment. Higgins et al. ( 2012 ) found consistent but small positive associations between the use of technology and learning outcomes of school-age learners (5–18-year-olds) in studies linking the provision and use of technology with attainment. Additionally, Chauhan ( 2017 ) reported a medium positive effect of technology on the learning effectiveness of primary school students compared to students who followed traditional learning instruction.

The rise of mobile technologies and hardware devices instigated investigations into their impact on teaching and learning. Sung et al. ( 2016 ) reported a moderate effect on students' performance from the use of mobile devices in the classroom compared to the use of desktop computers or the non-use of mobile devices. Schmid et al. ( 2014 ) reported medium–low to low positive effects of technology integration (e.g., CAI, ICTs) in the classroom on students' achievement and attitude compared to not using technology or using technology to varying degrees. Tamim et al. ( 2015 ) found a low statistically significant effect of the use of tablets and other smart devices in educational contexts on students' achievement outcomes. The authors suggested that tablets offered additional advantages to students; namely, they reported improvements in students’ notetaking, organizational and communication skills, and creativity. Zheng et al. ( 2016 ) reported a small positive effect of one-to-one laptop programs on students’ academic achievement across subject areas. Additional reported benefits included student-centered, individualized, and project-based learning enhanced learner engagement and enthusiasm. Additionally, the authors found that students using one-to-one laptop programs tended to use technology more frequently than in non-laptop classrooms, and as a result, they developed a range of skills (e.g., information skills, media skills, technology skills, organizational skills). Haßler et al. ( 2016 ) found that most interventions that included the use of tablets across the curriculum reported positive learning outcomes. However, from 23 studies, five reported no differences, and two reported a negative effect on students' learning outcomes. Similar results were indicated by Kalati and Kim ( 2022 ) who investigated the effect of touchscreen technologies on young students’ learning. Specifically, from 53 studies, 34 advocated positive effects of touchscreen devices on children’s learning, 17 obtained mixed findings and two studies reported negative effects.

More recently, approaches that refer to the impact of gamification with the use of digital technologies on teaching and learning were also explored. A review by Pan et al. ( 2022 ) that examined the role of learning games in fostering mathematics education in K-12 settings, reported that gameplay improved students’ performance. Integration of digital games in teaching was also found as a promising pedagogical practice in STEM education that could lead to increased learning gains (Martinez et al., 2022 ; Wang et al., 2022 ). However, although Talan et al. ( 2020 ) reported a medium effect of the use of educational games (both digital and non-digital) on academic achievement, the effect of non-digital games was higher.

Over the last two years, the effects of more advanced technologies on teaching and learning were also investigated. Garzón and Acevedo ( 2019 ) found that AR applications had a medium effect on students' learning outcomes compared to traditional lectures. Similarly, Garzón et al. ( 2020 ) showed that AR had a medium impact on students' learning gains. VR applications integrated into various subjects were also found to have a moderate effect on students’ learning compared to control conditions (traditional classes, e.g., lectures, textbooks, and multimedia use, e.g., images, videos, animation, CAI) (Chen et al., 2022b ). Villena-Taranilla et al. ( 2022 ) noted the moderate effect of VR technologies on students’ learning when these were applied in STEM disciplines. In the same meta-analysis, Villena-Taranilla et al. ( 2022 ) highlighted the role of immersive VR, since its effect on students’ learning was greater (at a high level) across educational levels (K-6) compared to semi-immersive and non-immersive integrations. In another meta-analysis study, the effect size of the immersive VR was small and significantly differentiated across educational levels (Coban et al., 2022 ). The impact of AI on education was investigated by Su and Yang ( 2022 ) and Su et al. ( 2022 ), who showed that this technology significantly improved students’ understanding of AI computer science and machine learning concepts.

It is worth noting that the vast majority of studies referred to learning gains in specific subjects. Specifically, several studies examined the impact of digital technologies on students’ literacy skills and reported positive effects on language learning (Balanskat et al., 2006 ; Grgurović et al., 2013 ; Friedel et al., 2013 ; Zheng et al., 2016 ; Chen et al., 2022b ; Savva et al., 2022 ). Also, several studies documented positive effects on specific language learning areas, namely foreign language learning (Kao, 2014 ), writing (Higgins et al., 2012 ; Wen & Walters, 2022 ; Zheng et al., 2016 ), as well as reading and comprehension (Cheung & Slavin, 2011 ; Liao et al., 2007 ; Schwabe et al., 2022 ). ICTs were also found to have a positive impact on students' performance in STEM (science, technology, engineering, and mathematics) disciplines (Arztmann et al., 2022 ; Bado, 2022 ; Villena-Taranilla et al., 2022 ; Wang et al., 2022 ). Specifically, a number of studies reported positive impacts on students’ achievement in mathematics (Balanskat et al., 2006 ; Hillmayr et al., 2020 ; Li & Ma, 2010 ; Pan et al., 2022 ; Ran et al., 2022 ; Verschaffel et al., 2019 ; Zheng et al., 2016 ). Furthermore, studies documented positive effects of ICTs on science learning (Balanskat et al., 2006 ; Liao et al., 2007 ; Zheng et al., 2016 ; Hillmayr et al., 2020 ; Kalemkuş & Kalemkuş, 2022 ; Lei et al., 2022a ). Çelik ( 2022 ) also noted that computer simulations can help students understand learning concepts related to science. Furthermore, some studies documented that the use of ICTs had a positive impact on students’ achievement in other subjects, such as geography, history, music, and arts (Chauhan, 2017 ; Condie & Munro, 2007 ), and design and technology (Balanskat et al., 2006 ).

More specific positive learning gains were reported in a number of skills, e.g., problem-solving skills and pattern exploration skills (Higgins et al., 2012 ), metacognitive learning outcomes (Verschaffel et al., 2019 ), literacy skills, computational thinking skills, emotion control skills, and collaborative inquiry skills (Lu et al., 2022 ; Su & Yang, 2022 ; Su et al., 2022 ). Additionally, several investigations have reported benefits from the use of ICT on students’ creativity (Fielding & Murcia, 2022 ; Liu et al., 2022 ; Quah & Ng, 2022 ). Lastly, digital technologies were also found to be beneficial for enhancing students’ lifelong learning skills (Haleem et al., 2022 ).

Apart from gaining knowledge and skills, studies also reported improvement in motivation and interest in mathematics (Higgins et. al., 2019 ; Fadda et al., 2022 ) and increased positive achievement emotions towards several subjects during interventions using educational games (Lei et al., 2022a ). Chen et al. ( 2022a ) also reported a small but positive effect of digital health approaches in bullying and cyberbullying interventions with K-12 students, demonstrating that technology-based approaches can help reduce bullying and related consequences by providing emotional support, empowerment, and change of attitude. In their meta-review study, Su et al. ( 2022 ) also documented that AI technologies effectively strengthened students’ attitudes towards learning. In another meta-analysis, Arztmann et al. ( 2022 ) reported positive effects of digital games on motivation and behaviour towards STEM subjects.

3.2 Impacts of digital technologies on equality, inclusion and social integration

Although most of the reviewed studies focused on the impact of ICTs on students’ knowledge, skills, and attitudes, reports were also made on other aspects in the school context, such as equality, inclusion, and social integration. Condie and Munro ( 2007 ) documented research interventions investigating how ICT can support pupils with additional or special educational needs. While those interventions were relatively small scale and mostly based on qualitative data, their findings indicated that the use of ICTs enabled the development of communication, participation, and self-esteem. A recent meta-analysis (Baragash et al., 2022 ) with 119 participants with different disabilities, reported a significant overall effect size of AR on their functional skills acquisition. Koh’s meta-analysis ( 2022 ) also revealed that students with intellectual and developmental disabilities improved their competence and performance when they used digital games in the lessons.

Istenic Starcic and Bagon ( 2014 ) found that the role of ICT in inclusion and the design of pedagogical and technological interventions was not sufficiently explored in educational interventions with people with special needs; however, some benefits of ICT use were found in students’ social integration. The issue of gender and technology use was mentioned in a small number of studies. Zheng et al. ( 2016 ) reported a statistically significant positive interaction between one-to-one laptop programs and gender. Specifically, the results showed that girls and boys alike benefitted from the laptop program, but the effect on girls’ achievement was smaller than that on boys’. Along the same lines, Arztmann et al. ( 2022 ) reported no difference in the impact of game-based learning between boys and girls, arguing that boys and girls equally benefited from game-based interventions in STEM domains. However, results from a systematic review by Cussó-Calabuig et al. ( 2018 ) found limited and low-quality evidence on the effects of intensive use of computers on gender differences in computer anxiety, self-efficacy, and self-confidence. Based on their view, intensive use of computers can reduce gender differences in some areas and not in others, depending on contextual and implementation factors.

3.3 Impacts of digital technologies on teachers’ professional and teaching practices

Various research studies have explored the impact of ICT on teachers’ instructional practices and student assessment. Friedel et al. ( 2013 ) found that the use of mobile devices by students enabled teachers to successfully deliver content (e.g., mobile serious games), provide scaffolding, and facilitate synchronous collaborative learning. The integration of digital games in teaching and learning activities also gave teachers the opportunity to study and apply various pedagogical practices (Bado, 2022 ). Specifically, Bado ( 2022 ) found that teachers who implemented instructional activities in three stages (pre-game, game, and post-game) maximized students’ learning outcomes and engagement. For instance, during the pre-game stage, teachers focused on lectures and gameplay training, at the game stage teachers provided scaffolding on content, addressed technical issues, and managed the classroom activities. During the post-game stage, teachers organized activities for debriefing to ensure that the gameplay had indeed enhanced students’ learning outcomes.

Furthermore, ICT can increase efficiency in lesson planning and preparation by offering possibilities for a more collaborative approach among teachers. The sharing of curriculum plans and the analysis of students’ data led to clearer target settings and improvements in reporting to parents (Balanskat et al., 2006 ).

Additionally, the use and application of digital technologies in teaching and learning were found to enhance teachers’ digital competence. Balanskat et al. ( 2006 ) documented studies that revealed that the use of digital technologies in education had a positive effect on teachers’ basic ICT skills. The greatest impact was found on teachers with enough experience in integrating ICTs in their teaching and/or who had recently participated in development courses for the pedagogical use of technologies in teaching. Punie et al. ( 2006 ) reported that the provision of fully equipped multimedia portable computers and the development of online teacher communities had positive impacts on teachers’ confidence and competence in the use of ICTs.

Moreover, online assessment via ICTs benefits instruction. In particular, online assessments support the digitalization of students’ work and related logistics, allow teachers to gather immediate feedback and readjust to new objectives, and support the improvement of the technical quality of tests by providing more accurate results. Additionally, the capabilities of ICTs (e.g., interactive media, simulations) create new potential methods of testing specific skills, such as problem-solving and problem-processing skills, meta-cognitive skills, creativity and communication skills, and the ability to work productively in groups (Punie et al., 2006 ).

3.4 Impacts of digital technologies on other school-related aspects and stakeholders

There is evidence that the effective use of ICTs and the data transmission offered by broadband connections help improve administration (Balanskat et al., 2006 ). Specifically, ICTs have been found to provide better management systems to schools that have data gathering procedures in place. Condie and Munro ( 2007 ) reported impacts from the use of ICTs in schools in the following areas: attendance monitoring, assessment records, reporting to parents, financial management, creation of repositories for learning resources, and sharing of information amongst staff. Such data can be used strategically for self-evaluation and monitoring purposes which in turn can result in school improvements. Additionally, they reported that online access to other people with similar roles helped to reduce headteachers’ isolation by offering them opportunities to share insights into the use of ICT in learning and teaching and how it could be used to support school improvement. Furthermore, ICTs provided more efficient and successful examination management procedures, namely less time-consuming reporting processes compared to paper-based examinations and smooth communications between schools and examination authorities through electronic data exchange (Punie et al., 2006 ).

Zheng et al. ( 2016 ) reported that the use of ICTs improved home-school relationships. Additionally, Escueta et al. ( 2017 ) reported several ICT programs that had improved the flow of information from the school to parents. Particularly, they documented that the use of ICTs (learning management systems, emails, dedicated websites, mobile phones) allowed for personalized and customized information exchange between schools and parents, such as attendance records, upcoming class assignments, school events, and students’ grades, which generated positive results on students’ learning outcomes and attainment. Such information exchange between schools and families prompted parents to encourage their children to put more effort into their schoolwork.

The above findings suggest that the impact of ICT integration in schools goes beyond students’ performance in school subjects. Specifically, it affects a number of school-related aspects, such as equality and social integration, professional and teaching practices, and diverse stakeholders. In Table 2 , we summarize the different impacts of digital technologies on school stakeholders based on the literature review, while in Table 3 we organized the tools/platforms and practices/policies addressed in the meta-analyses, literature reviews, EU reports, and international bodies included in the manuscript.

Additionally, based on the results of the literature review, there are many types of digital technologies with different affordances (see, for example, studies on VR vs Immersive VR), which evolve over time (e.g. starting from CAIs in 2005 to Augmented and Virtual reality 2020). Furthermore, these technologies are linked to different pedagogies and policy initiatives, which are critical factors in the study of impact. Table 3 summarizes the different tools and practices that have been used to examine the impact of digital technologies on education since 2005 based on the review results.

3.5 Factors that affect the integration of digital technologies

Although the analysis of the literature review demonstrated different impacts of the use of digital technology on education, several authors highlighted the importance of various factors, besides the technology itself, that affect this impact. For example, Liao et al. ( 2007 ) suggested that future studies should carefully investigate which factors contribute to positive outcomes by clarifying the exact relationship between computer applications and learning. Additionally, Haßler et al., ( 2016 ) suggested that the neutral findings regarding the impact of tablets on students learning outcomes in some of the studies included in their review should encourage educators, school leaders, and school officials to further investigate the potential of such devices in teaching and learning. Several other researchers suggested that a number of variables play a significant role in the impact of ICTs on students’ learning that could be attributed to the school context, teaching practices and professional development, the curriculum, and learners’ characteristics (Underwood, 2009 ; Tamim et al., 2011 ; Higgins et al., 2012 ; Archer et al., 2014 ; Sung et al., 2016 ; Haßler et al., 2016 ; Chauhan, 2017 ; Lee et al., 2020 ; Tang et al., 2022 ).

3.5.1 Digital competencies

One of the most common challenges reported in studies that utilized digital tools in the classroom was the lack of students’ skills on how to use them. Fu ( 2013 ) found that students’ lack of technical skills is a barrier to the effective use of ICT in the classroom. Tamim et al. ( 2015 ) reported that students faced challenges when using tablets and smart mobile devices, associated with the technical issues or expertise needed for their use and the distracting nature of the devices and highlighted the need for teachers’ professional development. Higgins et al. ( 2012 ) reported that skills training about the use of digital technologies is essential for learners to fully exploit the benefits of instruction.

Delgado et al. ( 2015 ), meanwhile, reported studies that showed a strong positive association between teachers’ computer skills and students’ use of computers. Teachers’ lack of ICT skills and familiarization with technologies can become a constraint to the effective use of technology in the classroom (Balanskat et al., 2006 ; Delgado et al., 2015 ).

It is worth noting that the way teachers are introduced to ICTs affects the impact of digital technologies on education. Previous studies have shown that teachers may avoid using digital technologies due to limited digital skills (Balanskat, 2006 ), or they prefer applying “safe” technologies, namely technologies that their own teachers used and with which they are familiar (Condie & Munro, 2007 ). In this regard, the provision of digital skills training and exposure to new digital tools might encourage teachers to apply various technologies in their lessons (Condie & Munro, 2007 ). Apart from digital competence, technical support in the school setting has also been shown to affect teachers’ use of technology in their classrooms (Delgado et al., 2015 ). Ferrari et al. ( 2011 ) found that while teachers’ use of ICT is high, 75% stated that they needed more institutional support and a shift in the mindset of educational actors to achieve more innovative teaching practices. The provision of support can reduce time and effort as well as cognitive constraints, which could cause limited ICT integration in the school lessons by teachers (Escueta et al., 2017 ).

3.5.2 Teachers’ personal characteristics, training approaches, and professional development

Teachers’ personal characteristics and professional development affect the impact of digital technologies on education. Specifically, Cheok and Wong ( 2015 ) found that teachers’ personal characteristics (e.g., anxiety, self-efficacy) are associated with their satisfaction and engagement with technology. Bingimlas ( 2009 ) reported that lack of confidence, resistance to change, and negative attitudes in using new technologies in teaching are significant determinants of teachers’ levels of engagement in ICT. The same author reported that the provision of technical support, motivation support (e.g., awards, sufficient time for planning), and training on how technologies can benefit teaching and learning can eliminate the above barriers to ICT integration. Archer et al. ( 2014 ) found that comfort levels in using technology are an important predictor of technology integration and argued that it is essential to provide teachers with appropriate training and ongoing support until they are comfortable with using ICTs in the classroom. Hillmayr et al. ( 2020 ) documented that training teachers on ICT had an important effecton students’ learning.

According to Balanskat et al. ( 2006 ), the impact of ICTs on students’ learning is highly dependent on the teachers’ capacity to efficiently exploit their application for pedagogical purposes. Results obtained from the Teaching and Learning International Survey (TALIS) (OECD, 2021 ) revealed that although schools are open to innovative practices and have the capacity to adopt them, only 39% of teachers in the European Union reported that they are well or very well prepared to use digital technologies for teaching. Li and Ma ( 2010 ) and Hardman ( 2019 ) showed that the positive effect of technology on students’ achievement depends on the pedagogical practices used by teachers. Schmid et al. ( 2014 ) reported that learning was best supported when students were engaged in active, meaningful activities with the use of technological tools that provided cognitive support. Tamim et al. ( 2015 ) compared two different pedagogical uses of tablets and found a significant moderate effect when the devices were used in a student-centered context and approach rather than within teacher-led environments. Similarly, Garzón and Acevedo ( 2019 ) and Garzón et al. ( 2020 ) reported that the positive results from the integration of AR applications could be attributed to the existence of different variables which could influence AR interventions (e.g., pedagogical approach, learning environment, and duration of the intervention). Additionally, Garzón et al. ( 2020 ) suggested that the pedagogical resources that teachers used to complement their lectures and the pedagogical approaches they applied were crucial to the effective integration of AR on students’ learning gains. Garzón and Acevedo ( 2019 ) also emphasized that the success of a technology-enhanced intervention is based on both the technology per se and its characteristics and on the pedagogical strategies teachers choose to implement. For instance, their results indicated that the collaborative learning approach had the highest impact on students’ learning gains among other approaches (e.g., inquiry-based learning, situated learning, or project-based learning). Ran et al. ( 2022 ) also found that the use of technology to design collaborative and communicative environments showed the largest moderator effects among the other approaches.

Hattie ( 2008 ) reported that the effective use of computers is associated with training teachers in using computers as a teaching and learning tool. Zheng et al. ( 2016 ) noted that in addition to the strategies teachers adopt in teaching, ongoing professional development is also vital in ensuring the success of technology implementation programs. Sung et al. ( 2016 ) found that research on the use of mobile devices to support learning tends to report that the insufficient preparation of teachers is a major obstacle in implementing effective mobile learning programs in schools. Friedel et al. ( 2013 ) found that providing training and support to teachers increased the positive impact of the interventions on students’ learning gains. Trucano ( 2005 ) argued that positive impacts occur when digital technologies are used to enhance teachers’ existing pedagogical philosophies. Higgins et al. ( 2012 ) found that the types of technologies used and how they are used could also affect students’ learning. The authors suggested that training and professional development of teachers that focuses on the effective pedagogical use of technology to support teaching and learning is an important component of successful instructional approaches (Higgins et al., 2012 ). Archer et al. ( 2014 ) found that studies that reported ICT interventions during which teachers received training and support had moderate positive effects on students’ learning outcomes, which were significantly higher than studies where little or no detail about training and support was mentioned. Fu ( 2013 ) reported that the lack of teachers’ knowledge and skills on the technical and instructional aspects of ICT use in the classroom, in-service training, pedagogy support, technical and financial support, as well as the lack of teachers’ motivation and encouragement to integrate ICT on their teaching were significant barriers to the integration of ICT in education.

3.5.3 School leadership and management

Management and leadership are important cornerstones in the digital transformation process (Pihir et al., 2018 ). Zheng et al. ( 2016 ) documented leadership among the factors positively affecting the successful implementation of technology integration in schools. Strong leadership, strategic planning, and systematic integration of digital technologies are prerequisites for the digital transformation of education systems (Ređep, 2021 ). Management and leadership play a significant role in formulating policies that are translated into practice and ensure that developments in ICT become embedded into the life of the school and in the experiences of staff and pupils (Condie & Munro, 2007 ). Policy support and leadership must include the provision of an overall vision for the use of digital technologies in education, guidance for students and parents, logistical support, as well as teacher training (Conrads et al., 2017 ). Unless there is a commitment throughout the school, with accountability for progress at key points, it is unlikely for ICT integration to be sustained or become part of the culture (Condie & Munro, 2007 ). To achieve this, principals need to adopt and promote a whole-institution strategy and build a strong mutual support system that enables the school’s technological maturity (European Commission, 2019 ). In this context, school culture plays an essential role in shaping the mindsets and beliefs of school actors towards successful technology integration. Condie and Munro ( 2007 ) emphasized the importance of the principal’s enthusiasm and work as a source of inspiration for the school staff and the students to cultivate a culture of innovation and establish sustainable digital change. Specifically, school leaders need to create conditions in which the school staff is empowered to experiment and take risks with technology (Elkordy & Lovinelli, 2020 ).

In order for leaders to achieve the above, it is important to develop capacities for learning and leading, advocating professional learning, and creating support systems and structures (European Commission, 2019 ). Digital technology integration in education systems can be challenging and leadership needs guidance to achieve it. Such guidance can be introduced through the adoption of new methods and techniques in strategic planning for the integration of digital technologies (Ređep, 2021 ). Even though the role of leaders is vital, the relevant training offered to them has so far been inadequate. Specifically, only a third of the education systems in Europe have put in place national strategies that explicitly refer to the training of school principals (European Commission, 2019 , p. 16).

3.5.4 Connectivity, infrastructure, and government and other support

The effective integration of digital technologies across levels of education presupposes the development of infrastructure, the provision of digital content, and the selection of proper resources (Voogt et al., 2013 ). Particularly, a high-quality broadband connection in the school increases the quality and quantity of educational activities. There is evidence that ICT increases and formalizes cooperative planning between teachers and cooperation with managers, which in turn has a positive impact on teaching practices (Balanskat et al., 2006 ). Additionally, ICT resources, including software and hardware, increase the likelihood of teachers integrating technology into the curriculum to enhance their teaching practices (Delgado et al., 2015 ). For example, Zheng et al. ( 2016 ) found that the use of one-on-one laptop programs resulted in positive changes in teaching and learning, which would not have been accomplished without the infrastructure and technical support provided to teachers. Delgado et al. ( 2015 ) reported that limited access to technology (insufficient computers, peripherals, and software) and lack of technical support are important barriers to ICT integration. Access to infrastructure refers not only to the availability of technology in a school but also to the provision of a proper amount and the right types of technology in locations where teachers and students can use them. Effective technical support is a central element of the whole-school strategy for ICT (Underwood, 2009 ). Bingimlas ( 2009 ) reported that lack of technical support in the classroom and whole-school resources (e.g., failing to connect to the Internet, printers not printing, malfunctioning computers, and working on old computers) are significant barriers that discourage the use of ICT by teachers. Moreover, poor quality and inadequate hardware maintenance, and unsuitable educational software may discourage teachers from using ICTs (Balanskat et al., 2006 ; Bingimlas, 2009 ).

Government support can also impact the integration of ICTs in teaching. Specifically, Balanskat et al. ( 2006 ) reported that government interventions and training programs increased teachers’ enthusiasm and positive attitudes towards ICT and led to the routine use of embedded ICT.

Lastly, another important factor affecting digital transformation is the development and quality assurance of digital learning resources. Such resources can be support textbooks and related materials or resources that focus on specific subjects or parts of the curriculum. Policies on the provision of digital learning resources are essential for schools and can be achieved through various actions. For example, some countries are financing web portals that become repositories, enabling teachers to share resources or create their own. Additionally, they may offer e-learning opportunities or other services linked to digital education. In other cases, specific agencies of projects have also been set up to develop digital resources (Eurydice, 2019 ).

3.5.5 Administration and digital data management

The digital transformation of schools involves organizational improvements at the level of internal workflows, communication between the different stakeholders, and potential for collaboration. Vuorikari et al. ( 2020 ) presented evidence that digital technologies supported the automation of administrative practices in schools and reduced the administration’s workload. There is evidence that digital data affects the production of knowledge about schools and has the power to transform how schooling takes place. Specifically, Sellar ( 2015 ) reported that data infrastructure in education is developing due to the demand for “ information about student outcomes, teacher quality, school performance, and adult skills, associated with policy efforts to increase human capital and productivity practices ” (p. 771). In this regard, practices, such as datafication which refers to the “ translation of information about all kinds of things and processes into quantified formats” have become essential for decision-making based on accountability reports about the school’s quality. The data could be turned into deep insights about education or training incorporating ICTs. For example, measuring students’ online engagement with the learning material and drawing meaningful conclusions can allow teachers to improve their educational interventions (Vuorikari et al., 2020 ).

3.5.6 Students’ socioeconomic background and family support

Research show that the active engagement of parents in the school and their support for the school’s work can make a difference to their children’s attitudes towards learning and, as a result, their achievement (Hattie, 2008 ). In recent years, digital technologies have been used for more effective communication between school and family (Escueta et al., 2017 ). The European Commission ( 2020 ) presented data from a Eurostat survey regarding the use of computers by students during the pandemic. The data showed that younger pupils needed additional support and guidance from parents and the challenges were greater for families in which parents had lower levels of education and little to no digital skills.

In this regard, the socio-economic background of the learners and their socio-cultural environment also affect educational achievements (Punie et al., 2006 ). Trucano documented that the use of computers at home positively influenced students’ confidence and resulted in more frequent use at school, compared to students who had no home access (Trucano, 2005 ). In this sense, the socio-economic background affects the access to computers at home (OECD, 2015 ) which in turn influences the experience of ICT, an important factor for school achievement (Punie et al., 2006 ; Underwood, 2009 ). Furthermore, parents from different socio-economic backgrounds may have different abilities and availability to support their children in their learning process (Di Pietro et al., 2020 ).

3.5.7 Schools’ socioeconomic context and emergency situations

The socio-economic context of the school is closely related to a school’s digital transformation. For example, schools in disadvantaged, rural, or deprived areas are likely to lack the digital capacity and infrastructure required to adapt to the use of digital technologies during emergency periods, such as the COVID-19 pandemic (Di Pietro et al., 2020 ). Data collected from school principals confirmed that in several countries, there is a rural/urban divide in connectivity (OECD, 2015 ).

Emergency periods also affect the digitalization of schools. The COVID-19 pandemic led to the closure of schools and forced them to seek appropriate and connective ways to keep working on the curriculum (Di Pietro et al., 2020 ). The sudden large-scale shift to distance and online teaching and learning also presented challenges around quality and equity in education, such as the risk of increased inequalities in learning, digital, and social, as well as teachers facing difficulties coping with this demanding situation (European Commission, 2020 ).

Looking at the findings of the above studies, we can conclude that the impact of digital technologies on education is influenced by various actors and touches many aspects of the school ecosystem. Figure  1 summarizes the factors affecting the digital technologies’ impact on school stakeholders based on the findings from the literature review.

Factors that affect the impact of ICTs on education

4 Discussion

The findings revealed that the use of digital technologies in education affects a variety of actors within a school’s ecosystem. First, we observed that as technologies evolve, so does the interest of the research community to apply them to school settings. Figure  2 summarizes the trends identified in current research around the impact of digital technologies on schools’ digital capacity and transformation as found in the present study. Starting as early as 2005, when computers, simulations, and interactive boards were the most commonly applied tools in school interventions (e.g., Eng, 2005 ; Liao et al., 2007 ; Moran et al., 2008 ; Tamim et al., 2011 ), moving towards the use of learning platforms (Jewitt et al., 2011 ), then to the use of mobile devices and digital games (e.g., Tamim et al., 2015 ; Sung et al., 2016 ; Talan et al., 2020 ), as well as e-books (e.g., Savva et al., 2022 ), to the more recent advanced technologies, such as AR and VR applications (e.g., Garzón & Acevedo, 2019 ; Garzón et al., 2020 ; Kalemkuş & Kalemkuş, 2022 ), or robotics and AI (e.g., Su & Yang, 2022 ; Su et al., 2022 ). As this evolution shows, digital technologies are a concept in flux with different affordances and characteristics. Additionally, from an instructional perspective, there has been a growing interest in different modes and models of content delivery such as online, blended, and hybrid modes (e.g., Cheok & Wong, 2015 ; Kazu & Yalçin, 2022 ; Ulum, 2022 ). This is an indication that the value of technologies to support teaching and learning as well as other school-related practices is increasingly recognized by the research and school community. The impact results from the literature review indicate that ICT integration on students’ learning outcomes has effects that are small (Coban et al., 2022 ; Eng, 2005 ; Higgins et al., 2012 ; Schmid et al., 2014 ; Tamim et al., 2015 ; Zheng et al., 2016 ) to moderate (Garzón & Acevedo, 2019 ; Garzón et al., 2020 ; Liao et al., 2007 ; Sung et al., 2016 ; Talan et al., 2020 ; Wen & Walters, 2022 ). That said, a number of recent studies have reported high effect sizes (e.g., Kazu & Yalçin, 2022 ).

Current work and trends in the study of the impact of digital technologies on schools’ digital capacity

Based on these findings, several authors have suggested that the impact of technology on education depends on several variables and not on the technology per se (Tamim et al., 2011 ; Higgins et al., 2012 ; Archer et al., 2014 ; Sung et al., 2016 ; Haßler et al., 2016 ; Chauhan, 2017 ; Lee et al., 2020 ; Lei et al., 2022a ). While the impact of ICTs on student achievement has been thoroughly investigated by researchers, other aspects related to school life that are also affected by ICTs, such as equality, inclusion, and social integration have received less attention. Further analysis of the literature review has revealed a greater investment in ICT interventions to support learning and teaching in the core subjects of literacy and STEM disciplines, especially mathematics, and science. These were the most common subjects studied in the reviewed papers often drawing on national testing results, while studies that investigated other subject areas, such as social studies, were limited (Chauhan, 2017 ; Condie & Munro, 2007 ). As such, research is still lacking impact studies that focus on the effects of ICTs on a range of curriculum subjects.

The qualitative research provided additional information about the impact of digital technologies on education, documenting positive effects and giving more details about implications, recommendations, and future research directions. Specifically, the findings regarding the role of ICTs in supporting learning highlight the importance of teachers’ instructional practice and the learning context in the use of technologies and consequently their impact on instruction (Çelik, 2022 ; Schmid et al., 2014 ; Tamim et al., 2015 ). The review also provided useful insights regarding the various factors that affect the impact of digital technologies on education. These factors are interconnected and play a vital role in the transformation process. Specifically, these factors include a) digital competencies; b) teachers’ personal characteristics and professional development; c) school leadership and management; d) connectivity, infrastructure, and government support; e) administration and data management practices; f) students’ socio-economic background and family support and g) the socioeconomic context of the school and emergency situations. It is worth noting that we observed factors that affect the integration of ICTs in education but may also be affected by it. For example, the frequent use of ICTs and the use of laptops by students for instructional purposes positively affect the development of digital competencies (Zheng et al., 2016 ) and at the same time, the digital competencies affect the use of ICTs (Fu, 2013 ; Higgins et al., 2012 ). As a result, the impact of digital technologies should be explored more as an enabler of desirable and new practices and not merely as a catalyst that improves the output of the education process i.e. namely student attainment.

5 Conclusions

Digital technologies offer immense potential for fundamental improvement in schools. However, investment in ICT infrastructure and professional development to improve school education are yet to provide fruitful results. Digital transformation is a complex process that requires large-scale transformative changes that presuppose digital capacity and preparedness. To achieve such changes, all actors within the school’s ecosystem need to share a common vision regarding the integration of ICTs in education and work towards achieving this goal. Our literature review, which synthesized quantitative and qualitative data from a list of meta-analyses and review studies, provided useful insights into the impact of ICTs on different school stakeholders and showed that the impact of digital technologies touches upon many different aspects of school life, which are often overlooked when the focus is on student achievement as the final output of education. Furthermore, the concept of digital technologies is a concept in flux as technologies are not only different among them calling for different uses in the educational practice but they also change through time. Additionally, we opened a forum for discussion regarding the factors that affect a school’s digital capacity and transformation. We hope that our study will inform policy, practice, and research and result in a paradigm shift towards more holistic approaches in impact and assessment studies.

6 Study limitations and future directions

We presented a review of the study of digital technologies' impact on education and factors influencing schools’ digital capacity and transformation. The study results were based on a non-systematic literature review grounded on the acquisition of documentation in specific databases. Future studies should investigate more databases to corroborate and enhance our results. Moreover, search queries could be enhanced with key terms that could provide additional insights about the integration of ICTs in education, such as “policies and strategies for ICT integration in education”. Also, the study drew information from meta-analyses and literature reviews to acquire evidence about the effects of ICT integration in schools. Such evidence was mostly based on the general conclusions of the studies. It is worth mentioning that, we located individual studies which showed different, such as negative or neutral results. Thus, further insights are needed about the impact of ICTs on education and the factors influencing the impact. Furthermore, the nature of the studies included in meta-analyses and reviews is different as they are based on different research methodologies and data gathering processes. For instance, in a meta-analysis, the impact among the studies investigated is measured in a particular way, depending on policy or research targets (e.g., results from national examinations, pre-/post-tests). Meanwhile, in literature reviews, qualitative studies offer additional insights and detail based on self-reports and research opinions on several different aspects and stakeholders who could affect and be affected by ICT integration. As a result, it was challenging to draw causal relationships between so many interrelating variables.

Despite the challenges mentioned above, this study envisaged examining school units as ecosystems that consist of several actors by bringing together several variables from different research epistemologies to provide an understanding of the integration of ICTs. However, the use of other tools and methodologies and models for evaluation of the impact of digital technologies on education could give more detailed data and more accurate results. For instance, self-reflection tools, like SELFIE—developed on the DigCompOrg framework- (Kampylis et al., 2015 ; Bocconi & Lightfoot, 2021 ) can help capture a school’s digital capacity and better assess the impact of ICTs on education. Furthermore, the development of a theory of change could be a good approach for documenting the impact of digital technologies on education. Specifically, theories of change are models used for the evaluation of interventions and their impact; they are developed to describe how interventions will work and give the desired outcomes (Mayne, 2015 ). Theory of change as a methodological approach has also been used by researchers to develop models for evaluation in the field of education (e.g., Aromatario et al., 2019 ; Chapman & Sammons, 2013 ; De Silva et al., 2014 ).

We also propose that future studies aim at similar investigations by applying more holistic approaches for impact assessment that can provide in-depth data about the impact of digital technologies on education. For instance, future studies could focus on different research questions about the technologies that are used during the interventions or the way the implementation takes place (e.g., What methodologies are used for documenting impact? How are experimental studies implemented? How can teachers be taken into account and trained on the technology and its functions? What are the elements of an appropriate and successful implementation? How is the whole intervention designed? On which learning theories is the technology implementation based?).

Future research could also focus on assessing the impact of digital technologies on various other subjects since there is a scarcity of research related to particular subjects, such as geography, history, arts, music, and design and technology. More research should also be done about the impact of ICTs on skills, emotions, and attitudes, and on equality, inclusion, social interaction, and special needs education. There is also a need for more research about the impact of ICTs on administration, management, digitalization, and home-school relationships. Additionally, although new forms of teaching and learning with the use of ICTs (e.g., blended, hybrid, and online learning) have initiated several investigations in mainstream classrooms, only a few studies have measured their impact on students’ learning. Additionally, our review did not document any study about the impact of flipped classrooms on K-12 education. Regarding teaching and learning approaches, it is worth noting that studies referred to STEM or STEAM did not investigate the impact of STEM/STEAM as an interdisciplinary approach to learning but only investigated the impact of ICTs on learning in each domain as a separate subject (science, technology, engineering, arts, mathematics). Hence, we propose future research to also investigate the impact of the STEM/STEAM approach on education. The impact of emerging technologies on education, such as AR, VR, robotics, and AI has also been investigated recently, but more work needs to be done.

Finally, we propose that future studies could focus on the way in which specific factors, e.g., infrastructure and government support, school leadership and management, students’ and teachers’ digital competencies, approaches teachers utilize in the teaching and learning (e.g., blended, online and hybrid learning, flipped classrooms, STEM/STEAM approach, project-based learning, inquiry-based learning), affect the impact of digital technologies on education. We hope that future studies will give detailed insights into the concept of schools’ digital transformation through further investigation of impacts and factors which influence digital capacity and transformation based on the results and the recommendations of the present study.

Data availability statement

Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

Archer, K., Savage, R., Sanghera-Sidhu, S., Wood, E., Gottardo, A., & Chen, V. (2014). Examining the effectiveness of technology use in classrooms: A tertiary meta-analysis. Computers & Education, 78 , 140–149. https://doi.org/10.1016/j.compedu.2014.06.001

Article   Google Scholar  

Aromatario, O., Van Hoye, A., Vuillemin, A., Foucaut, A. M., Pommier, J., & Cambon, L. (2019). Using theory of change to develop an intervention theory for designing and evaluating behavior change SDApps for healthy eating and physical exercise: The OCAPREV theory. BMC Public Health, 19 (1), 1–12. https://doi.org/10.1186/s12889-019-7828-4

Arztmann, M., Hornstra, L., Jeuring, J., & Kester, L. (2022). Effects of games in STEM education: A meta-analysis on the moderating role of student background characteristics. Studies in Science Education , 1-37. https://doi.org/10.1080/03057267.2022.2057732

Bado, N. (2022). Game-based learning pedagogy: A review of the literature. Interactive Learning Environments, 30 (5), 936–948. https://doi.org/10.1080/10494820.2019.1683587

Balanskat, A. (2009). Study of the impact of technology in primary schools – Synthesis Report. Empirica and European Schoolnet. Retrieved 30 June 2022 from: https://erte.dge.mec.pt/sites/default/files/Recursos/Estudos/synthesis_report_steps_en.pdf

Balanskat, A. (2006). The ICT Impact Report: A review of studies of ICT impact on schools in Europe, European Schoolnet. Retrieved 30 June 2022 from:  https://en.unesco.org/icted/content/ict-impact-report-review-studies-ict-impact-schools-europe

Balanskat, A., Blamire, R., & Kefala, S. (2006). The ICT impact report.  European Schoolnet . Retrieved from: http://colccti.colfinder.org/sites/default/files/ict_impact_report_0.pdf

Balyer, A., & Öz, Ö. (2018). Academicians’ views on digital transformation in education. International Online Journal of Education and Teaching (IOJET), 5 (4), 809–830. Retrieved 30 June 2022 from  http://iojet.org/index.php/IOJET/article/view/441/295

Baragash, R. S., Al-Samarraie, H., Moody, L., & Zaqout, F. (2022). Augmented reality and functional skills acquisition among individuals with special needs: A meta-analysis of group design studies. Journal of Special Education Technology, 37 (1), 74–81. https://doi.org/10.1177/0162643420910413

Bates, A. W. (2015). Teaching in a digital age: Guidelines for designing teaching and learning . Open Educational Resources Collection . 6. Retrieved 30 June 2022 from: https://irl.umsl.edu/oer/6

Bingimlas, K. A. (2009). Barriers to the successful integration of ICT in teaching and learning environments: A review of the literature. Eurasia Journal of Mathematics, Science and Technology Education, 5 (3), 235–245. https://doi.org/10.12973/ejmste/75275

Blaskó, Z., Costa, P. D., & Schnepf, S. V. (2022). Learning losses and educational inequalities in Europe: Mapping the potential consequences of the COVID-19 crisis. Journal of European Social Policy, 32 (4), 361–375. https://doi.org/10.1177/09589287221091687

Bocconi, S., & Lightfoot, M. (2021). Scaling up and integrating the selfie tool for schools’ digital capacity in education and training systems: Methodology and lessons learnt. European Training Foundation . https://doi.org/10.2816/907029,JRC123936 . Accessed 30 June 2022.

Brooks, D. C., & McCormack, M. (2020). Driving Digital Transformation in Higher Education . Retrieved 30 June 2022 from: https://library.educause.edu/-/media/files/library/2020/6/dx2020.pdf?la=en&hash=28FB8C377B59AFB1855C225BBA8E3CFBB0A271DA

Cachia, R., Chaudron, S., Di Gioia, R., Velicu, A., & Vuorikari, R. (2021). Emergency remote schooling during COVID-19, a closer look at European families. Retrieved 30 June 2022 from  https://publications.jrc.ec.europa.eu/repository/handle/JRC125787

Çelik, B. (2022). The effects of computer simulations on students’ science process skills: Literature review. Canadian Journal of Educational and Social Studies, 2 (1), 16–28. https://doi.org/10.53103/cjess.v2i1.17

Chapman, C., & Sammons, P. (2013). School Self-Evaluation for School Improvement: What Works and Why? . CfBT Education Trust. 60 Queens Road, Reading, RG1 4BS, England.

Chauhan, S. (2017). A meta-analysis of the impact of technology on learning effectiveness of elementary students. Computers & Education, 105 , 14–30. https://doi.org/10.1016/j.compedu.2016.11.005

Chen, Q., Chan, K. L., Guo, S., Chen, M., Lo, C. K. M., & Ip, P. (2022a). Effectiveness of digital health interventions in reducing bullying and cyberbullying: a meta-analysis. Trauma, Violence, & Abuse , 15248380221082090. https://doi.org/10.1177/15248380221082090

Chen, B., Wang, Y., & Wang, L. (2022b). The effects of virtual reality-assisted language learning: A meta-analysis. Sustainability, 14 (6), 3147. https://doi.org/10.3390/su14063147

Cheok, M. L., & Wong, S. L. (2015). Predictors of e-learning satisfaction in teaching and learning for school teachers: A literature review. International Journal of Instruction, 8 (1), 75–90.

Cheung, A. C., & Slavin, R. E. (2011). The Effectiveness of Education Technology for Enhancing Reading Achievement: A Meta-Analysis. Center for Research and reform in Education .

Coban, M., Bolat, Y. I., & Goksu, I. (2022). The potential of immersive virtual reality to enhance learning: A meta-analysis. Educational Research Review , 100452. https://doi.org/10.1016/j.edurev.2022.100452

Condie, R., & Munro, R. K. (2007). The impact of ICT in schools-a landscape review. Retrieved 30 June 2022 from: https://oei.org.ar/ibertic/evaluacion/sites/default/files/biblioteca/33_impact_ict_in_schools.pdf

Conrads, J., Rasmussen, M., Winters, N., Geniet, A., Langer, L., (2017). Digital Education Policies in Europe and Beyond: Key Design Principles for More Effective Policies. Redecker, C., P. Kampylis, M. Bacigalupo, Y. Punie (ed.), EUR 29000 EN, Publications Office of the European Union, Luxembourg, https://doi.org/10.2760/462941

Costa, P., Castaño-Muñoz, J., & Kampylis, P. (2021). Capturing schools’ digital capacity: Psychometric analyses of the SELFIE self-reflection tool. Computers & Education, 162 , 104080. https://doi.org/10.1016/j.compedu.2020.104080

Cussó-Calabuig, R., Farran, X. C., & Bosch-Capblanch, X. (2018). Effects of intensive use of computers in secondary school on gender differences in attitudes towards ICT: A systematic review. Education and Information Technologies, 23 (5), 2111–2139. https://doi.org/10.1007/s10639-018-9706-6

Daniel, S. J. (2020). Education and the COVID-19 pandemic. Prospects, 49 (1), 91–96.

Delcker, J., & Ifenthaler, D. (2021). Teachers’ perspective on school development at German vocational schools during the Covid-19 pandemic. Technology, Pedagogy and Education, 30 (1), 125–139. https://doi.org/10.1080/1475939X.2020.1857826 . Accessed 30 June 2022.

Delgado, A., Wardlow, L., O’Malley, K., & McKnight, K. (2015). Educational technology: A review of the integration, resources, and effectiveness of technology in K-12 classrooms. Journal of Information Technology Education Research , 14, 397. Retrieved 30 June 2022 from  http://www.jite.org/documents/Vol14/JITEv14ResearchP397-416Delgado1829.pdf

De Silva, M. J., Breuer, E., Lee, L., Asher, L., Chowdhary, N., Lund, C., & Patel, V. (2014). Theory of change: A theory-driven approach to enhance the Medical Research Council’s framework for complex interventions. Trials, 15 (1), 1–13. https://doi.org/10.1186/1745-6215-15-267

Di Pietro, G., Biagi, F., Costa, P., Karpiński, Z., & Mazza, J. (2020). The likely impact of COVID-19 on education: Reflections based on the existing literature and recent international datasets (Vol. 30275). Publications Office of the European Union.

Google Scholar  

Elkordy, A., & Lovinelli, J. (2020). Competencies, Culture, and Change: A Model for Digital Transformation in K12 Educational Contexts. In D. Ifenthaler, S. Hofhues, M. Egloffstein, & C. Helbig (Eds.), Digital Transformation of Learning Organizations (pp. 203–219). Springer.

Eng, T. S. (2005). The impact of ICT on learning: A review of research. International Education Journal, 6 (5), 635–650.

European Commission. (2020). Digital Education Action Plan 2021 – 2027. Resetting education and training for the digital age. Retrieved 30 June 2022 from  https://ec.europa.eu/education/sites/default/files/document-library-docs/deap-communication-sept2020_en.pdf

European Commission. (2019). 2 nd survey of schools: ICT in education. Objective 1: Benchmark progress in ICT in schools . Retrieved 30 June 2022 from: https://data.europa.eu/euodp/data/storage/f/2019-03-19T084831/FinalreportObjective1-BenchmarkprogressinICTinschools.pdf

Eurydice. (2019). Digital Education at School in Europe , Luxembourg: Publications Office of the European Union. Retrieved 30 June 2022 from: https://eacea.ec.europa.eu/national-policies/eurydice/content/digital-education-school-europe_en

Escueta, M., Quan, V., Nickow, A. J., & Oreopoulos, P. (2017). Education technology: An evidence-based review. Retrieved 30 June 2022 from  https://ssrn.com/abstract=3031695

Fadda, D., Pellegrini, M., Vivanet, G., & Zandonella Callegher, C. (2022). Effects of digital games on student motivation in mathematics: A meta-analysis in K-12. Journal of Computer Assisted Learning, 38 (1), 304–325. https://doi.org/10.1111/jcal.12618

Fernández-Gutiérrez, M., Gimenez, G., & Calero, J. (2020). Is the use of ICT in education leading to higher student outcomes? Analysis from the Spanish Autonomous Communities. Computers & Education, 157 , 103969. https://doi.org/10.1016/j.compedu.2020.103969 . Accessed 30 June 2022.

Ferrari, A., Cachia, R., & Punie, Y. (2011). Educational change through technology: A challenge for obligatory schooling in Europe. Lecture Notes in Computer Science , 6964 , 97–110. Retrieved 30 June 2022  https://link.springer.com/content/pdf/10.1007/978-3-642-23985-4.pdf

Fielding, K., & Murcia, K. (2022). Research linking digital technologies to young children’s creativity: An interpretive framework and systematic review. Issues in Educational Research , 32 (1), 105–125. Retrieved 30 June 2022 from  http://www.iier.org.au/iier32/fielding-abs.html

Friedel, H., Bos, B., Lee, K., & Smith, S. (2013). The impact of mobile handheld digital devices on student learning: A literature review with meta-analysis. In Society for Information Technology & Teacher Education International Conference (pp. 3708–3717). Association for the Advancement of Computing in Education (AACE).

Fu, J. S. (2013). ICT in education: A critical literature review and its implications. International Journal of Education and Development Using Information and Communication Technology (IJEDICT), 9 (1), 112–125.

Gaol, F. L., & Prasolova-Førland, E. (2022). Special section editorial: The frontiers of augmented and mixed reality in all levels of education. Education and Information Technologies, 27 (1), 611–623.

Garzón, J., & Acevedo, J. (2019). Meta-analysis of the impact of Augmented Reality on students’ learning gains. Educational Research Review, 27 , 244–260. https://doi.org/10.1016/j.edurev.2019.04.001

Garzón, J., Baldiris, S., Gutiérrez, J., & Pavón, J. (2020). How do pedagogical approaches affect the impact of augmented reality on education? A meta-analysis and research synthesis. Educational Research Review , 100334. https://doi.org/10.1016/j.edurev.2020.100334

Grgurović, M., Chapelle, C. A., & Shelley, M. C. (2013). A meta-analysis of effectiveness studies on computer technology-supported language learning. ReCALL, 25 (2), 165–198. https://doi.org/10.1017/S0958344013000013

Haßler, B., Major, L., & Hennessy, S. (2016). Tablet use in schools: A critical review of the evidence for learning outcomes. Journal of Computer Assisted Learning, 32 (2), 139–156. https://doi.org/10.1111/jcal.12123

Haleem, A., Javaid, M., Qadri, M. A., & Suman, R. (2022). Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers, 3 , 275–285.

Hardman, J. (2019). Towards a pedagogical model of teaching with ICTs for mathematics attainment in primary school: A review of studies 2008–2018. Heliyon, 5 (5), e01726. https://doi.org/10.1016/j.heliyon.2019.e01726

Hattie, J., Rogers, H. J., & Swaminathan, H. (2014). The role of meta-analysis in educational research. In A. D. Reid, P. Hart, & M. A. Peters (Eds.), A companion to research in education (pp. 197–207). Springer.

Chapter   Google Scholar  

Hattie, J. (2008). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. Routledge . https://doi.org/10.4324/9780203887332

Higgins, S., Xiao, Z., & Katsipataki, M. (2012). The impact of digital technology on learning: A summary for the education endowment foundation . Education Endowment Foundation and Durham University.

Higgins, K., Huscroft-D’Angelo, J., & Crawford, L. (2019). Effects of technology in mathematics on achievement, motivation, and attitude: A meta-analysis. Journal of Educational Computing Research , 57(2), 283-319.

Hillmayr, D., Ziernwald, L., Reinhold, F., Hofer, S. I., & Reiss, K. M. (2020). The potential of digital tools to enhance mathematics and science learning in secondary schools: A context-specific meta-analysis. Computers & Education, 153 (1038), 97. https://doi.org/10.1016/j.compedu.2020.103897

Istenic Starcic, A., & Bagon, S. (2014). ICT-supported learning for inclusion of people with special needs: Review of seven educational technology journals, 1970–2011. British Journal of Educational Technology, 45 (2), 202–230. https://doi.org/10.1111/bjet.12086 . Accessed 30 June 2022.

Jewitt, C., Clark, W., & Hadjithoma-Garstka, C. (2011). The use of learning platforms to organise learning in English primary and secondary schools. Learning, Media and Technology, 36 (4), 335–348. https://doi.org/10.1080/17439884.2011.621955

JISC. (2020). What is digital transformation?.  Retrieved 30 June 2022 from: https://www.jisc.ac.uk/guides/digital-strategy-framework-for-university-leaders/what-is-digital-transformation

Kalati, A. T., & Kim, M. S. (2022). What is the effect of touchscreen technology on young children’s learning?: A systematic review. Education and Information Technologies , 1-19. https://doi.org/10.1007/s10639-021-10816-5

Kalemkuş, J., & Kalemkuş, F. (2022). Effect of the use of augmented reality applications on academic achievement of student in science education: Meta-analysis review. Interactive Learning Environments , 1-18. https://doi.org/10.1080/10494820.2022.2027458

Kao, C.-W. (2014). The effects of digital game-based learning task in English as a foreign language contexts: A meta-analysis. Education Journal, 42 (2), 113–141.

Kampylis, P., Punie, Y., & Devine, J. (2015). Promoting effective digital-age learning - a European framework for digitally competent educational organisations. JRC Technical Reports . https://doi.org/10.2791/54070

Kazu, I. Y., & Yalçin, C. K. (2022). Investigation of the effectiveness of hybrid learning on academic achievement: A meta-analysis study. International Journal of Progressive Education, 18 (1), 249–265. https://doi.org/10.29329/ijpe.2022.426.14

Koh, C. (2022). A qualitative meta-analysis on the use of serious games to support learners with intellectual and developmental disabilities: What we know, what we need to know and what we can do. International Journal of Disability, Development and Education, 69 (3), 919–950.

König, J., Jäger-Biela, D. J., & Glutsch, N. (2020). Adapting to online teaching during COVID-19 school closure: Teacher education and teacher competence effects among early career teachers in Germany. European Journal of Teacher Education, 43 (4), 608–622. https://doi.org/10.1080/02619768.2020.1809650

Lawrence, J. E., & Tar, U. A. (2018). Factors that influence teachers’ adoption and integration of ICT in teaching/learning process. Educational Media International, 55 (1), 79–105. https://doi.org/10.1080/09523987.2018.1439712

Lee, S., Kuo, L. J., Xu, Z., & Hu, X. (2020). The effects of technology-integrated classroom instruction on K-12 English language learners’ literacy development: A meta-analysis. Computer Assisted Language Learning , 1-32. https://doi.org/10.1080/09588221.2020.1774612

Lei, H., Chiu, M. M., Wang, D., Wang, C., & Xie, T. (2022a). Effects of game-based learning on students’ achievement in science: a meta-analysis. Journal of Educational Computing Research . https://doi.org/10.1177/07356331211064543

Lei, H., Wang, C., Chiu, M. M., & Chen, S. (2022b). Do educational games affect students’ achievement emotions? Evidence from a meta-analysis. Journal of Computer Assisted Learning., 38 (4), 946–959. https://doi.org/10.1111/jcal.12664

Liao, Y. K. C., Chang, H. W., & Chen, Y. W. (2007). Effects of computer application on elementary school student’s achievement: A meta-analysis of students in Taiwan. Computers in the Schools, 24 (3–4), 43–64. https://doi.org/10.1300/J025v24n03_04

Li, Q., & Ma, X. (2010). A meta-analysis of the effects of computer technology on school students’ mathematics learning. Educational Psychology Review, 22 (3), 215–243.

Liu, M., Pang, W., Guo, J., & Zhang, Y. (2022). A meta-analysis of the effect of multimedia technology on creative performance. Education and Information Technologies , 1-28. https://doi.org/10.1007/s10639-022-10981-1

Lu, Z., Chiu, M. M., Cui, Y., Mao, W., & Lei, H. (2022). Effects of game-based learning on students’ computational thinking: A meta-analysis. Journal of Educational Computing Research . https://doi.org/10.1177/07356331221100740

Martinez, L., Gimenes, M., & Lambert, E. (2022). Entertainment video games for academic learning: A systematic review. Journal of Educational Computing Research . https://doi.org/10.1177/07356331211053848

Mayne, J. (2015). Useful theory of change models. Canadian Journal of Program Evaluation, 30 (2), 119–142. https://doi.org/10.3138/cjpe.230

Moran, J., Ferdig, R. E., Pearson, P. D., Wardrop, J., & Blomeyer, R. L., Jr. (2008). Technology and reading performance in the middle-school grades: A meta-analysis with recommendations for policy and practice. Journal of Literacy Research, 40 (1), 6–58. https://doi.org/10.1080/10862960802070483

OECD. (2015). Students, Computers and Learning: Making the Connection . PISA, OECD Publishing, Paris. Retrieved from: https://doi.org/10.1787/9789264239555-en

OECD. (2021). OECD Digital Education Outlook 2021: Pushing the Frontiers with Artificial Intelligence, Blockchain and Robots. Retrieved from: https://www.oecd-ilibrary.org/education/oecd-digital-education-outlook-2021_589b283f-en

Pan, Y., Ke, F., & Xu, X. (2022). A systematic review of the role of learning games in fostering mathematics education in K-12 settings. Educational Research Review, 36 , 100448. https://doi.org/10.1016/j.edurev.2022.100448

Pettersson, F. (2021). Understanding digitalization and educational change in school by means of activity theory and the levels of learning concept. Education and Information Technologies, 26 (1), 187–204.

Pihir, I., Tomičić-Pupek, K., & Furjan, M. T. (2018). Digital transformation insights and trends. In Central European Conference on Information and Intelligent Systems (pp. 141–149). Faculty of Organization and Informatics Varazdin. Retrieved 30 June 2022 from https://www.proquest.com/conference-papers-proceedings/digital-transformation-insights-trends/docview/2125639934/se-2

Punie, Y., Zinnbauer, D., & Cabrera, M. (2006). A review of the impact of ICT on learning. Working Paper prepared for DG EAC. Retrieved 30 June 2022 from: http://www.eurosfaire.prd.fr/7pc/doc/1224678677_jrc47246n.pdf

Quah, C. Y., & Ng, K. H. (2022). A systematic literature review on digital storytelling authoring tool in education: January 2010 to January 2020. International Journal of Human-Computer Interaction, 38 (9), 851–867. https://doi.org/10.1080/10447318.2021.1972608

Ran, H., Kim, N. J., & Secada, W. G. (2022). A meta-analysis on the effects of technology’s functions and roles on students’ mathematics achievement in K-12 classrooms. Journal of computer assisted learning, 38 (1), 258–284. https://doi.org/10.1111/jcal.12611

Ređep, N. B. (2021). Comparative overview of the digital preparedness of education systems in selected CEE countries. Center for Policy Studies. CEU Democracy Institute .

Rott, B., & Marouane, C. (2018). Digitalization in schools–organization, collaboration and communication. In Digital Marketplaces Unleashed (pp. 113–124). Springer, Berlin, Heidelberg.

Savva, M., Higgins, S., & Beckmann, N. (2022). Meta-analysis examining the effects of electronic storybooks on language and literacy outcomes for children in grades Pre-K to grade 2. Journal of Computer Assisted Learning, 38 (2), 526–564. https://doi.org/10.1111/jcal.12623

Schmid, R. F., Bernard, R. M., Borokhovski, E., Tamim, R. M., Abrami, P. C., Surkes, M. A., Wade, C. A., & Woods, J. (2014). The effects of technology use in postsecondary education: A meta-analysis of classroom applications. Computers & Education, 72 , 271–291. https://doi.org/10.1016/j.compedu.2013.11.002

Schuele, C. M., & Justice, L. M. (2006). The importance of effect sizes in the interpretation of research: Primer on research: Part 3. The ASHA Leader, 11 (10), 14–27. https://doi.org/10.1044/leader.FTR4.11102006.14

Schwabe, A., Lind, F., Kosch, L., & Boomgaarden, H. G. (2022). No negative effects of reading on screen on comprehension of narrative texts compared to print: A meta-analysis. Media Psychology , 1-18. https://doi.org/10.1080/15213269.2022.2070216

Sellar, S. (2015). Data infrastructure: a review of expanding accountability systems and large-scale assessments in education. Discourse: Studies in the Cultural Politics of Education, 36 (5), 765–777. https://doi.org/10.1080/01596306.2014.931117

Stock, W. A. (1994). Systematic coding for research synthesis. In H. Cooper & L. V. Hedges (Eds.), The handbook of research synthesis, 236 (pp. 125–138). Russel Sage.

Su, J., Zhong, Y., & Ng, D. T. K. (2022). A meta-review of literature on educational approaches for teaching AI at the K-12 levels in the Asia-Pacific region. Computers and Education: Artificial Intelligence , 100065. https://doi.org/10.1016/j.caeai.2022.100065

Su, J., & Yang, W. (2022). Artificial intelligence in early childhood education: A scoping review. Computers and Education: Artificial Intelligence, 3 , 100049. https://doi.org/10.1016/j.caeai.2022.100049

Sung, Y. T., Chang, K. E., & Liu, T. C. (2016). The effects of integrating mobile devices with teaching and learning on students’ learning performance: A meta-analysis and research synthesis. Computers & Education, 94 , 252–275. https://doi.org/10.1016/j.compedu.2015.11.008

Talan, T., Doğan, Y., & Batdı, V. (2020). Efficiency of digital and non-digital educational games: A comparative meta-analysis and a meta-thematic analysis. Journal of Research on Technology in Education, 52 (4), 474–514. https://doi.org/10.1080/15391523.2020.1743798

Tamim, R. M., Bernard, R. M., Borokhovski, E., Abrami, P. C., & Schmid, R. F. (2011). What forty years of research says about the impact of technology on learning: A second-order meta-analysis and validation study. Review of Educational research, 81 (1), 4–28. Retrieved 30 June 2022 from  https://doi.org/10.3102/0034654310393361

Tamim, R. M., Borokhovski, E., Pickup, D., Bernard, R. M., & El Saadi, L. (2015). Tablets for teaching and learning: A systematic review and meta-analysis. Commonwealth of Learning. Retrieved from: http://oasis.col.org/bitstream/handle/11599/1012/2015_Tamim-et-al_Tablets-for-Teaching-and-Learning.pdf

Tang, C., Mao, S., Xing, Z., & Naumann, S. (2022). Improving student creativity through digital technology products: A literature review. Thinking Skills and Creativity, 44 , 101032. https://doi.org/10.1016/j.tsc.2022.101032

Tolani-Brown, N., McCormac, M., & Zimmermann, R. (2011). An analysis of the research and impact of ICT in education in developing country contexts. In ICTs and sustainable solutions for the digital divide: Theory and perspectives (pp. 218–242). IGI Global.

Trucano, M. (2005). Knowledge Maps: ICTs in Education. Washington, DC: info Dev / World Bank. Retrieved 30 June 2022 from  https://files.eric.ed.gov/fulltext/ED496513.pdf

Ulum, H. (2022). The effects of online education on academic success: A meta-analysis study. Education and Information Technologies, 27 (1), 429–450.

Underwood, J. D. (2009). The impact of digital technology: A review of the evidence of the impact of digital technologies on formal education. Retrieved 30 June 2022 from: http://dera.ioe.ac.uk/id/eprint/10491

Verschaffel, L., Depaepe, F., & Mevarech, Z. (2019). Learning Mathematics in metacognitively oriented ICT-Based learning environments: A systematic review of the literature. Education Research International , 2019 . https://doi.org/10.1155/2019/3402035

Villena-Taranilla, R., Tirado-Olivares, S., Cózar-Gutiérrez, R., & González-Calero, J. A. (2022). Effects of virtual reality on learning outcomes in K-6 education: A meta-analysis. Educational Research Review, 35 , 100434. https://doi.org/10.1016/j.edurev.2022.100434

Voogt, J., Knezek, G., Cox, M., Knezek, D., & ten Brummelhuis, A. (2013). Under which conditions does ICT have a positive effect on teaching and learning? A call to action. Journal of Computer Assisted Learning, 29 (1), 4–14. https://doi.org/10.1111/j.1365-2729.2011.00453.x

Vuorikari, R., Punie, Y., & Cabrera, M. (2020). Emerging technologies and the teaching profession: Ethical and pedagogical considerations based on near-future scenarios  (No. JRC120183). Joint Research Centre. Retrieved 30 June 2022 from: https://publications.jrc.ec.europa.eu/repository/handle/JRC120183

Wang, L. H., Chen, B., Hwang, G. J., Guan, J. Q., & Wang, Y. Q. (2022). Effects of digital game-based STEM education on students’ learning achievement: A meta-analysis. International Journal of STEM Education, 9 (1), 1–13. https://doi.org/10.1186/s40594-022-00344-0

Wen, X., & Walters, S. M. (2022). The impact of technology on students’ writing performances in elementary classrooms: A meta-analysis. Computers and Education Open, 3 , 100082. https://doi.org/10.1016/j.caeo.2022.100082

Zheng, B., Warschauer, M., Lin, C. H., & Chang, C. (2016). Learning in one-to-one laptop environments: A meta-analysis and research synthesis. Review of Educational Research, 86 (4), 1052–1084. https://doi.org/10.3102/0034654316628645

Download references

Acknowledgements

This project has received funding under Grant Agreement No Ref Ares (2021) 339036 7483039 as well as funding from the European Union’s Horizon 2020 Research and Innovation Program under Grant Agreement No 739578 and the Government of the Republic of Cyprus through the Deputy Ministry of Research, Innovation and Digital Policy. The UVa co-authors would like also to acknowledge funding from the European Regional Development Fund and the National Research Agency of the Spanish Ministry of Science and Innovation, under project grant PID2020-112584RB-C32.

Author information

Authors and affiliations.

CYENS Center of Excellence & Cyprus University of Technology (Cyprus Interaction Lab), Cyprus, CYENS Center of Excellence & Cyprus University of Technology, Nicosia-Limassol, Cyprus

Stella Timotheou, Ourania Miliou & Andri Ioannou

Universidad de Valladolid (UVA), Spain, Valladolid, Spain

Yiannis Dimitriadis, Sara Villagrá Sobrino, Nikoleta Giannoutsou & Alejandra Martínez Monés

JRC - Joint Research Centre of the European Commission, Seville, Spain

Romina Cachia

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to Andri Ioannou .

Ethics declarations

Conflict of interest, additional information, publisher's note.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Timotheou, S., Miliou, O., Dimitriadis, Y. et al. Impacts of digital technologies on education and factors influencing schools' digital capacity and transformation: A literature review. Educ Inf Technol 28 , 6695–6726 (2023). https://doi.org/10.1007/s10639-022-11431-8

Download citation

Received : 04 May 2022

Accepted : 27 October 2022

Published : 21 November 2022

Issue Date : June 2023

DOI : https://doi.org/10.1007/s10639-022-11431-8

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Digital technologies
• Digital capacity
• Digital transformation
• Find a journal
• Publish with us
• Track your research

Global Education Monitoring Report

Technology in education

As recognised in the Incheon Declaration, the achievement of SDG 4 is dependent on opportunities and challenges posed by technology, a relationship that was strengthened by the onset of the COVID-19 pandemic. Technology appears in six out of the ten targets in the fourth Sustainable Development goal on education. These references recognize that technology affects education through five distinct channels, as input, means of delivery, skill, tool for planning, and providing a social and cultural context.

There are often bitter divisions in how the role of technology is viewed, however. These divisions are widening as the technology is evolving at breakneck speed.  The 2023 GEM Report on technology and education explores these debates, examining education challenges to which appropriate use of technology can offer solutions (access, equity and inclusion; quality; technology advancement; system management), while recognizing that many solutions proposed may also be detrimental.

The report also explores three system-wide conditions (access to technology, governance regulation, and teacher preparation) that need to be met for any technology in education to reach its full potential. It provides the mid-term assessment of progress towards SDG 4 , which was summarized in a brochure and promoted at the 2023 SDG Summit.

The 2023 GEM Report and 200 PEER country profiles on technology and education were launched on 26 July. A recording of the global launch event can be watched  here  and a south-south dialogue between Ministers of education in Latin America and Africa here .

Background material

Watch the launch event

Consultations

The GEM Report is partnering with Restless Development  to mobilize youth globally to inform the development of the 2023 Youth Report, exploring how technology can address various education challenges.

The GEM Report ran a consultation process to collect feedback and evidence on the proposed lines of research of the 2023 concept note.

Related resources

on technology and education

in quality and school infrastructure

Related content

Monitoring SDG 4: Quality

Is technology good or bad for learning?

Subscribe to the brown center on education policy newsletter, saro mohammed, ph.d. smp saro mohammed, ph.d. partner - the learning accelerator @edresearchworks.

May 8, 2019

I’ll bet you’ve read something about technology and learning recently. You may have read that device use enhances learning outcomes . Or perhaps you’ve read that screen time is not good for kids . Maybe you’ve read that there’s no link between adolescents’ screen time and their well-being . Or that college students’ learning declines the more devices are present in their classrooms .

If ever there were a case to be made that more research can cloud rather than clarify an issue, technology use and learning seems to fit the bill. This piece covers what the research actually says, some outstanding questions, and how to approach the use of technology in learning environments to maximize opportunities for learning and minimize the risk of doing harm to students.

In my recent posts , I have frequently cited the mixed evidence about blended learning, which strategically integrates in-person learning with technology to enable real-time data use, personalized instruction, and mastery-based progression. One thing that this nascent evidence base does show is that technology can be linked to improved learning . When technology is integrated into lessons in ways that are aligned with good in-person teaching pedagogy, learning can be better than without technology.

A 2018 meta-analysis of dozens of rigorous studies of ed tech , along with the executive summary of a forthcoming update (126 rigorous experiments), indicated that when education technology is used to individualize students’ pace of learning, the results overall show “ enormous promise .” In other words, ed tech can improve learning when used to personalize instruction to each student’s pace.

Further, this same meta-analysis, along with other large but correlational studies (e.g., OECD 2015 ), also found that increased access to technology in school was associated with improved proficiency with, and increased use of, technology overall. This is important in light of the fact that access to technology outside of learning environments is still very unevenly distributed across ethnic, socio-economic, and geographic lines. Technology for learning, when deployed to all students, ensures that no student experiences a “21st-century skills and opportunity” gap.

More practically, technology has been shown to scale and sustain instructional practices that would be too resource-intensive to work in exclusively in-person learning environments, especially those with the highest needs. In multiple , large-scale studies where technology has been incorporated into the learning experiences of hundreds of students across multiple schools and school systems, they have been associated with better academic outcomes than comparable classrooms that did not include technology. Added to these larger bodies of research are dozens, if not hundreds, of smaller , more localized examples of technology being used successfully to improve students’ learning experiences. Further, meta-analyses and syntheses of the research show that blended learning can produce greater learning than exclusively in-person learning.

All of the above suggest that technology, used well, can drive equity in learning opportunities. We are seeing that students and families from privileged backgrounds are able to make choices about technology use that maximize its benefits and minimize its risks , while students and families from marginalized backgrounds do not have opportunities to make the same informed choices. Intentional, thoughtful inclusion of technology in public learning environments can ensure that all students, regardless of their ethnicity, socioeconomic status, language status, special education status, or other characteristics, have the opportunity to experience learning and develop skills that allow them to fully realize their potential.

On the other hand, the evidence is decidedly mixed on the neurological impact of technology use. In November 2016, the American Association of Pediatrics updated their screen time guidelines for parents, generally relaxing restrictions and increasing the recommended maximum amount of time that children in different age groups spend interacting with screens. These guidelines were revised not because of any new research, but for two far more practical reasons. First, the nuance of the existing evidence–especially the ways in which recommendations change as children get older–was not adequately captured in the previous guidelines. Second, the proliferation of technology in our lives had made the previous guidelines almost impossible to follow.

The truth is that infants, in particular, learn by interacting with our physical world and with other humans, and it is likely that very early (passive) interactions with devices–rather than humans–can disrupt or misinform neural development . As we grow older, time spent on devices often replaces time spent engaging in physical activity or socially with other people, and it can even become a substitute for emotional regulation, which is detrimental to physical, social, and emotional development.

In adolescence and young adulthood, the presence of technology in learning environments has also been associated with (but has not been shown to be the cause of) negative variables such as attention deficits or hyperactivity , feeling lonely , and lower grades . Multitasking is not something our brains can do while learning , and technology often represents not just one more “task” to have to attend to in a learning environment, but multiple additional tasks due to the variety of apps and programs installed on and producing notifications through a single device.

The pragmatic

The current takeaway from the research is that there are potential benefits and risks to deploying technology in learning environments. While we can’t wrap this topic up with a bow just yet–there are still more questions than answers–there is evidence that technology can amplify effective teaching and learning when in the hands of good teachers. The best we can do today is understand how technology can be a valuable tool for educators to do the complex, human work that is teaching by capitalizing on the benefits while remaining fully mindful of the risks as we currently understand them.

We must continue to build our understanding of both the risks and benefits as we proceed. With that in mind, here are some “Dos” and “Don’ts” for using technology in learning environments:

Related Content

Saro Mohammed, Ph.D.

November 3, 2017

June 16, 2017

September 27, 2017

Education Technology K-12 Education

Governance Studies

Brown Center on Education Policy

Phillip Levine

April 12, 2024

Hannah C. Kistler, Shaun M. Dougherty

April 9, 2024

Katharine Meyer, Rachel M. Perera, Michael Hansen

How Has Technology Changed Education?

Technology has impacted almost every aspect of life today, and education is no exception. Or is it? In some ways, education seems much the same as it has been for many years. A 14th century illustration by Laurentius de Voltolina depicts a university lecture in medieval Italy. The scene is easily recognizable because of its parallels to the modern day. The teacher lectures from a podium at the front of the room while the students sit in rows and listen. Some of the students have books open in front of them and appear to be following along. A few look bored. Some are talking to their neighbors. One appears to be sleeping. Classrooms today do not look much different, though you might find modern students looking at their laptops, tablets, or smart phones instead of books (though probably open to Facebook). A cynic would say that technology has done nothing to change education.

However, in many ways, technology has profoundly changed education. For one, technology has greatly expanded access to education. In medieval times, books were rare and only an elite few had access to educational opportunities. Individuals had to travel to centers of learning to get an education. Today, massive amounts of information (books, audio, images, videos) are available at one’s fingertips through the Internet, and opportunities for formal learning are available online worldwide through the Khan Academy, MOOCs, podcasts, traditional online degree programs, and more. Access to learning opportunities today is unprecedented in scope thanks to technology.

Opportunities for communication and collaboration have also been expanded by technology. Traditionally, classrooms have been relatively isolated, and collaboration has been limited to other students in the same classroom or building. Today, technology enables forms of communication and collaboration undreamt of in the past. Students in a classroom in the rural U.S., for example, can learn about the Arctic by following the expedition of a team of scientists in the region, read scientists’ blog posting, view photos, e-mail questions to the scientists, and even talk live with the scientists via a videoconference. Students can share what they are learning with students in other classrooms in other states who are tracking the same expedition. Students can collaborate on group projects using technology-based tools such as wikis and Google docs. The walls of the classrooms are no longer a barrier as technology enables new ways of learning, communicating, and working collaboratively.

Technology has also begun to change the roles of teachers and learners. In the traditional classroom, such as what we see depicted in de Voltolina’s illustration, the teacher is the primary source of information, and the learners passively receive it. This model of the teacher as the “sage on the stage” has been in education for a long time, and it is still very much in evidence today. However, because of the access to information and educational opportunity that technology has enabled, in many classrooms today we see the teacher’s role shifting to the “guide on the side” as students take more responsibility for their own learning using technology to gather relevant information. Schools and universities across the country are beginning to redesign learning spaces to enable this new model of education, foster more interaction and small group work, and use technology as an enabler.

Technology is a powerful tool that can support and transform education in many ways, from making it easier for teachers to create instructional materials to enabling new ways for people to learn and work together. With the worldwide reach of the Internet and the ubiquity of smart devices that can connect to it, a new age of anytime anywhere education is dawning. It will be up to instructional designers and educational technologies to make the most of the opportunities provided by technology to change education so that effective and efficient education is available to everyone everywhere.

You can help shape the influence of technology in education with an Online Master of Science in Education in Learning Design and Technology from Purdue University Online. This accredited program offers studies in exciting new technologies that are shaping education and offers students the opportunity to take part in the future of innovation.

Learn more about the online MSEd in Learning Design and Technology at Purdue University today and help redefine the way in which individuals learn. Call (877) 497-5851 to speak with an admissions advisor or to request more information.

How Important Is Technology in Education? Benefits, Challenges, and Impact on Students

Many of today’s high-demand jobs were created in the last decade, according to the International Society for Technology in Education (ISTE). As advances in technology drive globalization and digital transformation, teachers can help students acquire the necessary skills to succeed in the careers of the future.

How important is technology in education? The COVID-19 pandemic is quickly demonstrating why online education should be a vital part of teaching and learning. By integrating technology into existing curricula, as opposed to using it solely as a crisis-management tool, teachers can harness online learning as a powerful educational tool.

The effective use of digital learning tools in classrooms can increase student engagement, help teachers improve their lesson plans, and facilitate personalized learning. It also helps students build essential 21st-century skills.

Virtual classrooms, video, augmented reality (AR), robots, and other technology tools can not only make class more lively, they can also create more inclusive learning environments that foster collaboration and inquisitiveness and enable teachers to collect data on student performance.

Still, it’s important to note that technology is a tool used in education and not an end in itself. The promise of educational technology lies in what educators do with it and how it is used to best support their students’ needs.

Educational Technology Challenges

BuiltIn reports that 92 percent of teachers understand the impact of technology in education. According to Project Tomorrow, 59 percent of middle school students say digital educational tools have helped them with their grades and test scores. These tools have become so popular that the educational technology market is projected to expand to $342 billion by 2025, according to the World Economic Forum.

However, educational technology has its challenges, particularly when it comes to implementation and use. For example, despite growing interest in the use of AR, artificial intelligence, and other emerging technology, less than 10 percent of schools report having these tools in their classrooms, according to Project Tomorrow. Additional concerns include excessive screen time, the effectiveness of teachers using the technology, and worries about technology equity.

Prominently rising from the COVID-19 crisis is the issue of content. Educators need to be able to develop and weigh in on online educational content, especially to encourage students to consider a topic from different perspectives. The urgent actions taken during this crisis did not provide sufficient time for this. Access is an added concern — for example, not every school district has resources to provide students with a laptop, and internet connectivity can be unreliable in homes.

Additionally, while some students thrive in online education settings, others lag for various factors, including support resources. For example, a student who already struggled in face-to-face environments may struggle even more in the current situation. These students may have relied on resources that they no longer have in their homes.

Still, most students typically demonstrate confidence in using online education when they have the resources, as studies have suggested. However, online education may pose challenges for teachers, especially in places where it has not been the norm.

Despite the challenges and concerns, it’s important to note the benefits of technology in education, including increased collaboration and communication, improved quality of education, and engaging lessons that help spark imagination and a search for knowledge in students.

The Benefits of Technology in Education

Teachers want to improve student performance, and technology can help them accomplish this aim. To mitigate the challenges, administrators should help teachers gain the competencies needed to enhance learning for students through technology. Additionally, technology in the classroom should make teachers’ jobs easier without adding extra time to their day.

Technology provides students with easy-to-access information, accelerated learning, and fun opportunities to practice what they learn. It enables students to explore new subjects and deepen their understanding of difficult concepts, particularly in STEM. Through the use of technology inside and outside the classroom, students can gain 21st-century technical skills necessary for future occupations.

Still, children learn more effectively with direction. The World Economic Forum reports that while technology can help young students learn and acquire knowledge through play, for example, evidence suggests that learning is more effective through guidance from an adult, such as a teacher.

Leaders and administrators should take stock of where their faculty are in terms of their understanding of online spaces. From lessons learned during this disruptive time, they can implement solutions now for the future. For example, administrators could give teachers a week or two to think carefully about how to teach courses not previously online. In addition to an exploration of solutions, flexibility during these trying times is of paramount importance.

Below are examples of how important technology is in education and the benefits it offers to students and teachers.

Increased Collaboration and Communication

Educational technology can foster collaboration. Not only can teachers engage with students during lessons, but students can also communicate with each other. Through online lessons and learning games, students get to work together to solve problems. In collaborative activities, students can share their thoughts and ideas and support each other. At the same time, technology enables one-on-one interaction with teachers. Students can ask classroom-related questions and seek additional help on difficult-to-understand subject matter. At home, students can upload their homework, and teachers can access and view completed assignments using their laptops.

Personalized Learning Opportunities

Technology allows 24/7 access to educational resources. Classes can take place entirely online via the use of a laptop or mobile device. Hybrid versions of learning combine the use of technology from anywhere with regular in-person classroom sessions. In both scenarios, the use of technology to tailor learning plans for each student is possible. Teachers can create lessons based on student interests and strengths. An added benefit is that students can learn at their own pace. When they need to review class material to get a better understanding of essential concepts, students can review videos in the lesson plan. The data generated through these online activities enable teachers to see which students struggled with certain subjects and offer additional assistance and support.

Curiosity Driven by Engaging Content

Through engaging and educational content, teachers can spark inquisitiveness in children and boost their curiosity, which research says has ties to academic success. Curiosity helps students get a better understanding of math and reading concepts. Creating engaging content can involve the use of AR, videos, or podcasts. For example, when submitting assignments, students can include videos or interact with students from across the globe.

Improved Teacher Productivity and Efficiency

Teachers can leverage technology to achieve new levels of productivity, implement useful digital tools to expand learning opportunities for students, and increase student support and engagement. It also enables teachers to improve their instruction methods and personalize learning. Schools can benefit from technology by reducing the costs of physical instructional materials, enhancing educational program efficiency, and making the best use of teacher time.

Become a Leader in Enriching Classrooms through Technology

Educators unfamiliar with some of the technology used in education may not have been exposed to the tools as they prepared for their careers or as part of their professional development. Teachers looking to make the transition and acquire the skills to incorporate technology in education can take advantage of learning opportunities to advance their competencies. For individuals looking to help transform the education system through technology, American University’s School of Education Online offers a Master of Arts in Teaching and a Master of Arts in Education Policy and Leadership to prepare educators with essential tools to become leaders. Courses such as Education Program and Policy Implementation and Teaching Science in Elementary School equip graduate students with critical competencies to incorporate technology into educational settings effectively.

Learn more about American University’s School of Education Online and its master’s degree programs.

Virtual Reality in Education: Benefits, Tools, and Resources

Data-Driven Decision Making in Education: 11 Tips for Teachers & Administration

Helping Girls Succeed in STEM

BuiltIn, “Edtech 101”

EdTech, “Teaching Teachers to Put Tech Tools to Work”

International Society for Technology in Education, “Preparing Students for Jobs That Don’t Exist”

The Journal, “How Teachers Use Technology to Enrich Learning Experiences”

Pediatric Research, “Early Childhood Curiosity and Kindergarten Reading and Math Academic Achievement”

Project Tomorrow, “Digital Learning: Peril or Promise for Our K-12 Students”

World Economic Forum, “The Future of Jobs Report 2018”

World Economic Forum, “Learning through Play: How Schools Can Educate Students through Technology”

Request Information

Southern Regional Education Board home page

Find data or policy by:, 10 critical issues in educational technology to improve education, address critical technology issues now.

Four of the biggest problems facing education—and four trends that could make a difference

Eduardo velez bustillo, harry a. patrinos.

In 2022, we published, Lessons for the education sector from the COVID-19 pandemic , which was a follow up to,  Four Education Trends that Countries Everywhere Should Know About , which summarized views of education experts around the world on how to handle the most pressing issues facing the education sector then. We focused on neuroscience, the role of the private sector, education technology, inequality, and pedagogy.

Unfortunately, we think the four biggest problems facing education today in developing countries are the same ones we have identified in the last decades .

1. The learning crisis was made worse by COVID-19 school closures

Low quality instruction is a major constraint and prior to COVID-19, the learning poverty rate in low- and middle-income countries was 57% (6 out of 10 children could not read and understand basic texts by age 10). More dramatic is the case of Sub-Saharan Africa with a rate even higher at 86%. Several analyses show that the impact of the pandemic on student learning was significant, leaving students in low- and middle-income countries way behind in mathematics, reading and other subjects.  Some argue that learning poverty may be close to 70% after the pandemic , with a substantial long-term negative effect in future earnings. This generation could lose around $21 trillion in future salaries, with the vulnerable students affected the most.

2. Countries are not paying enough attention to early childhood care and education (ECCE)

At the pre-school level about two-thirds of countries do not have a proper legal framework to provide free and compulsory pre-primary education. According to UNESCO, only a minority of countries, mostly high-income, were making timely progress towards SDG4 benchmarks on early childhood indicators prior to the onset of COVID-19. And remember that ECCE is not only preparation for primary school. It can be the foundation for emotional wellbeing and learning throughout life; one of the best investments a country can make.

3. There is an inadequate supply of high-quality teachers

Low quality teaching is a huge problem and getting worse in many low- and middle-income countries.  In Sub-Saharan Africa, for example, the percentage of trained teachers fell from 84% in 2000 to 69% in 2019 . In addition, in many countries teachers are formally trained and as such qualified, but do not have the minimum pedagogical training. Globally, teachers for science, technology, engineering, and mathematics (STEM) subjects are the biggest shortfalls.

4. Decision-makers are not implementing evidence-based or pro-equity policies that guarantee solid foundations

It is difficult to understand the continued focus on non-evidence-based policies when there is so much that we know now about what works. Two factors contribute to this problem. One is the short tenure that top officials have when leading education systems. Examples of countries where ministers last less than one year on average are plentiful. The second and more worrisome deals with the fact that there is little attention given to empirical evidence when designing education policies.

To help improve on these four fronts, we see four supporting trends:

1. Neuroscience should be integrated into education policies

Policies considering neuroscience can help ensure that students get proper attention early to support brain development in the first 2-3 years of life. It can also help ensure that children learn to read at the proper age so that they will be able to acquire foundational skills to learn during the primary education cycle and from there on. Inputs like micronutrients, early child stimulation for gross and fine motor skills, speech and language and playing with other children before the age of three are cost-effective ways to get proper development. Early grade reading, using the pedagogical suggestion by the Early Grade Reading Assessment model, has improved learning outcomes in many low- and middle-income countries. We now have the tools to incorporate these advances into the teaching and learning system with AI , ChatGPT , MOOCs and online tutoring.

2. Reversing learning losses at home and at school

There is a real need to address the remaining and lingering losses due to school closures because of COVID-19.  Most students living in households with incomes under the poverty line in the developing world, roughly the bottom 80% in low-income countries and the bottom 50% in middle-income countries, do not have the minimum conditions to learn at home . These students do not have access to the internet, and, often, their parents or guardians do not have the necessary schooling level or the time to help them in their learning process. Connectivity for poor households is a priority. But learning continuity also requires the presence of an adult as a facilitator—a parent, guardian, instructor, or community worker assisting the student during the learning process while schools are closed or e-learning is used.

To recover from the negative impact of the pandemic, the school system will need to develop at the student level: (i) active and reflective learning; (ii) analytical and applied skills; (iii) strong self-esteem; (iv) attitudes supportive of cooperation and solidarity; and (v) a good knowledge of the curriculum areas. At the teacher (instructor, facilitator, parent) level, the system should aim to develop a new disposition toward the role of teacher as a guide and facilitator. And finally, the system also needs to increase parental involvement in the education of their children and be active part in the solution of the children’s problems. The Escuela Nueva Learning Circles or the Pratham Teaching at the Right Level (TaRL) are models that can be used.

3. Use of evidence to improve teaching and learning

We now know more about what works at scale to address the learning crisis. To help countries improve teaching and learning and make teaching an attractive profession, based on available empirical world-wide evidence , we need to improve its status, compensation policies and career progression structures; ensure pre-service education includes a strong practicum component so teachers are well equipped to transition and perform effectively in the classroom; and provide high-quality in-service professional development to ensure they keep teaching in an effective way. We also have the tools to address learning issues cost-effectively. The returns to schooling are high and increasing post-pandemic. But we also have the cost-benefit tools to make good decisions, and these suggest that structured pedagogy, teaching according to learning levels (with and without technology use) are proven effective and cost-effective .

4. The role of the private sector

When properly regulated the private sector can be an effective education provider, and it can help address the specific needs of countries. Most of the pedagogical models that have received international recognition come from the private sector. For example, the recipients of the Yidan Prize on education development are from the non-state sector experiences (Escuela Nueva, BRAC, edX, Pratham, CAMFED and New Education Initiative). In the context of the Artificial Intelligence movement, most of the tools that will revolutionize teaching and learning come from the private sector (i.e., big data, machine learning, electronic pedagogies like OER-Open Educational Resources, MOOCs, etc.). Around the world education technology start-ups are developing AI tools that may have a good potential to help improve quality of education .

After decades asking the same questions on how to improve the education systems of countries, we, finally, are finding answers that are very promising.  Governments need to be aware of this fact.

To receive weekly articles,  sign-up here  

Consultant, Education Sector, World Bank

Senior Adviser, Education

Join the Conversation

• Share on mail
• comments added

• New York, NY 10016
• Office Hours: 8:00 AM - 7:45 PM

The 7 Greatest Challenges Facing Education Technology Today

• Published Date: March 28, 2021
• Categories: IT Technology
• By Hitesh Patel
• Modified Date: December 26, 2023

Table of Contents

Education technology is a major part of the 21st-century learning experience. When incorporated properly in the classroom, tools such as computers, video conferencing, and even artificial intelligence can be used to supplement children’s education, provide support to students with disabilities , and have a wide variety of additional applications and benefits.

However, implementing education technology in the classroom is not always done smoothly or successfully. Many teachers and administrators face obstacles that prevent them from sourcing, installing, and using technology that they can use to enrich their students’ educations. Read on to learn about the top seven challenges facing the adoption and use of education technology today .

1. Budget Limitations

By far the greatest factor limiting the efforts of teachers and administrators to provide education technology to students, budget cuts and limitations are a major hurdle that proponents of education technology must overcome in order to successfully introduce tech into their classrooms. A recent study even demonstrated that 75.9% of respondents saw budget restrictions as the biggest challenge preventing them from embracing education technology.

Budget limitations are especially challenging to overcome because great education tech tools don’t come cheap: while tools like Google Cloud can be a powerful tool for education, simply adopting that one tool also requires schools to provide Chromebooks to students and fund training sessions for teachers, which strained budgets simply can’t handle. Finding the funds to implement and sustain technology in the classroom can be a major barrier to its adoption in cash-strapped schools.

2. Lack Of Professional Training

Increasingly new and advanced education technology appears every day. Teachers need to be able to know not only how to get the most out of each new tool themselves, but also how to train their students in its use. Providing classrooms with a shiny new tool that neither teacher nor student can use is unlikely to make an impact in any child’s educational experience, and requiring busy teachers to teach themselves how to use a new tool can be frustrating and time-consuming. Although professionally training teachers, faculty, and staff may require time and money, it’s necessary if students are expected to get the desired effects out of their technological experience.

3. Poor Network Infrastructure

Simply handing a room full of students a box of laptops or notebooks won’t have any beneficial effects if the school doesn’t have the network infrastructure it needs to support them. A strong network infrastructure requires fast, high-quality WiFi at school and at home, as well as data privacy and security, access to digital resources, and much more. Designing, building, and supporting a strong network infrastructure must be done with a great amount of care and forethought, as it is necessary for the effective and responsible continued use of technology in education .

4. Resistance To Change

Many teachers have demonstrated a resistance to change and unwillingness to adopt education technology. However, studies have shown that this resistance is not because teachers dislike technology. Rather, it’s partly because teachers view learning a new teaching tool as a risky approach for which they’re not adequately trained. It’s also partly because their school administrators don’t present a united front by highlighting which specific tools can have positive outcomes for their students. Although this resistance to change can be difficult to overcome, working with teachers to support them in adopting new education technology can help make them more likely to embrace it.

5. No Systems In Place To Utilize Technology In Curriculum

Although granting teachers access to tablets and smartboards may help boost their comfort with education technology, many teachers simply have not thought about how they can best utilize technology in their curriculum. Indeed, the way a history teacher utilizes laptops in the classroom may be very different than the way a math teacher utilizes a smartboard. Both likely require plenty of time for trial, error, and experimentation to bring their lesson plans up to date. A major challenge in the adoption of new tools is not providing teachers with the guidance they need to make education technology work for them in their specific classroom.

6. Unreliable Devices And Software

The lack of a strong infrastructure can also be compounded by a lack of reliable devices and software, all of which can present major barriers to the adoption of education technology. An unreliable device can simply be a notebook that doesn’t function properly, or it could be a bug causing students to have trouble accessing tests or staying logged in at school. In more extreme cases, Common Core test disruptions in 2015 and other test-based technical glitches represented an unforeseen challenge associated with using education technology to administer testing. Although education technology can be a powerful tool, devices and software need to be consistent and reliable for it to remain a viable option in the future.

7. Administrators Don’t See The Need For More Technology

Finally, another challenge facing technology in education is the fact that many administrators are simply unwilling to immediately adopt it. The reasons for this vary but are likely due to budget considerations as well as the fact that the benefits of education technology are not yet well-defined. This makes it challenging to pinpoint specific areas in which this technology could help raise test scores or boost other metrics. However, with distance learning on the rise and education technology becoming increasingly widespread, it seems likely that administrators’ resistance to adopting technology will soon become a thing of the past .

Learn How To Embrace Education Technology With Our Experts

Education technology is a new field that continues to evolve every day. At WPG Consulting, we provide technical support and top-notch professional guidance for a variety of IT systems . From Cloud Computing to IT Consulting & Product Management, our dedicated and experienced staff has the skills and dedication to help you learn more about education technology and how to avoid common pitfalls in its implementation and maintenance.

If you’re interested in learning more about how our friendly and qualified staff can help provide you with high-quality service, don’t hesitate to contact us or give us a call at (646) 868-9800 today.

Hitesh Patel

WPG is a privately owned IT Support and IT Services business formed in 2014. Today we’re proud to boast a strong team of IT engineers who thrive on rolling up their sleeves and solving your IT problems and meeting your business needs.

• USA : 200 E 32nd St, Unit 7C, New York, NY 10016

IT Services You Can Count on WPG Consulting​

Managed it services, cyber security, cloud computing, project management, disaster recovery planning, voip services, it engineering, strategic it consulting, desktop it support, software & ecommerce development, ready to take the next step fill out the form on the right., discover how can wpg consulting help you.

• Share full article

Advertisement

Subscriber-only Newsletter

Jessica Grose

Get tech out of the classroom before it’s too late.

By Jessica Grose

Opinion Writer

Jaime Lewis noticed that her eighth-grade son’s grades were slipping several months ago. She suspected it was because he was watching YouTube during class on his school-issued laptop, and her suspicions were validated. “I heard this from two of his teachers and confirmed with my son: Yes, he watches YouTube during class, and no, he doesn’t think he can stop. In fact, he opted out of retaking a math test he’d failed, just so he could watch YouTube,” she said.

She decided to do something about it. Lewis told me that she got together with other parents who were concerned about the unfettered use of school-sanctioned technology in San Luis Coastal Unified School District, their district in San Luis Obispo, Calif. Because they knew that it wasn’t realistic to ask for the removal of the laptops entirely, they went for what they saw as an achievable win: blocking YouTube from students’ devices. A few weeks ago, they had a meeting with the district superintendent and several other administrators, including the tech director.

To bolster their case, Lewis and her allies put together a video compilation of clips that elementary and middle school children had gotten past the district’s content filters.

Their video opens on images of nooses being fitted around the necks of the terrified women in the TV adaptation of “The Handmaid’s Tale.” It ends with the notoriously violent “Singin’ in the Rain” sequence from “A Clockwork Orange.” (Several versions of this scene are available on YouTube. The one she pointed me to included “rape scene” in the title.) Their video was part of a PowerPoint presentation filled with statements from other parents and school staff members, including one from a middle school assistant principal, who said, “I don’t know how often teachers are using YouTube in their curriculum.”

That acknowledgment gets to the heart of the problem with screens in schools. I heard from many parents who said that even when they asked district leaders how much time kids were spending on their screens, they couldn’t get straight answers; no one seemed to know, and no one seemed to be keeping track.

Eric Prater, the superintendent of the San Luis Coastal Unified School District, told me that he didn’t realize how much was getting through the schools’ content filters until Lewis and her fellow parents raised concerns. “Our tech department, as I found out from the meeting, spends quite a lot of time blocking certain websites,” he said. “It’s a quite time-consuming situation that I personally was not aware of.” He added that he’s grateful this was brought to his attention.

I don’t think educators are the bad guys here. Neither does Lewis. In general, educators want the best for students. The bad guys, as I see it, are tech companies.

One way or another, we’ve allowed Big Tech’s tentacles into absolutely every aspect of our children’s education, with very little oversight and no real proof that their devices or programs improve educational outcomes. Last year Collin Binkley at The Associated Press analyzed public records and found that “many of the largest school systems spent tens of millions of dollars in pandemic money on software and services from tech companies, including licenses for apps, games and tutoring websites.” However, he continued, schools “have little or no evidence the programs helped students.”

It’s not just waste, very likely, of taxpayer money that’s at issue. After reading many of the over 900 responses from parents and educators to my questionnaire about tech in schools and from the many conversations I had over the past few weeks with readers, I’m convinced that the downsides of tech in schools far outweigh the benefits.

Though tech’s incursion into America’s public schools — particularly our overreliance on devices — hyperaccelerated in 2020, it started well before the Covid-19 pandemic. Google, which provides the operating system for lower-cost Chromebooks and is owned by the same parent company as YouTube, is a big player in the school laptop space, though I also heard from many parents and teachers whose schools supply students with other types and brands of devices.

As my newsroom colleague Natasha Singer reported in 2017 (by which point “half the nation’s primary- and secondary-school students” were, according to Google, using its education apps), “Google makes $30 per device by selling management services for the millions of Chromebooks that ship to schools. But by habituating students to its offerings at a young age, Google obtains something much more valuable”: potential lifetime customers.

The issue goes beyond access to age-inappropriate clips or general distraction during school hours. Several parents related stories of even kindergartners reading almost exclusively on iPads because their school districts had phased out hard-copy books and writing materials after shifting to digital-only curriculums. There’s evidence that this is harmful: A 2019 analysis of the literature concluded that “readers may be more efficient and aware of their performance when reading from paper compared to screens.”

“It seems to be a constant battle between fighting for the students’ active attention (because their brains are now hard-wired for the instant gratification of TikTok and YouTube videos) and making sure they aren’t going to sites outside of the dozens they should be,” Nicole Post, who teaches at a public elementary school in Missouri, wrote to me. “It took months for students to listen to me tell a story or engage in a read-aloud. I’m distressed at the level of technology we’ve socialized them to believe is normal. I would give anything for a math or social studies textbook.”

I’ve heard about kids disregarding teachers who tried to limit tech use, fine motor skills atrophying because students rarely used pencils and children whose learning was ultimately stymied by the tech that initially helped them — for example, students learning English as a second language becoming too reliant on translation apps rather than becoming fluent.

Some teachers said they have programs that block certain sites and games, but those programs can be cumbersome. Some said they have software, like GoGuardian, that allows them to see the screens of all the students in their classes at once. But classroom time is zero sum: Teachers are either teaching or acting like prison wardens; they can’t do both at the same time.

Resources are finite. Software costs money . Replacing defunct or outdated laptops costs money . When it comes to I.T., many schools are understaffed . More of the money being spent on tech and the maintenance and training around the use of that tech could be spent on other things, like actual books. And badly monitored and used tech has the most potential for harm.

I’ve considered the counterarguments: Kids who’d be distracted by tech would find something else to distract them; K-12 students need to gain familiarity with tech to instill some vague work force readiness.

But on the first point, I think other forms of distraction — like talking to friends, doodling and daydreaming — are better than playing video games or watching YouTube because they at least involve children engaging with other children or their own minds. And there’s research that suggests laptops are uniquely distracting . One 2013 study found that even being next to a student who is multitasking on a computer can hurt a student’s test scores.

On the second point, you can have designated classes to teach children how to keyboard, code or use software that don’t require them to have laptops in their hands throughout the school day. And considering that various tech companies are developing artificial intelligence that, we’re meant to understand, will upend work as we know it , whatever tech skills we’re currently teaching will probably be obsolete by the time students enter the work force anyway. By then, it’ll be too late to claw back the brain space of our nation’s children that we’ve already ceded. And for what? So today’s grade schoolers can be really, really good at making PowerPoint presentations like the ones they might one day make as white-collar adults?

That’s the part that I can’t shake: We’ve let tech companies and their products set the terms of the argument about what education should be, and too many people, myself included, didn’t initially realize it. Companies never had to prove that devices or software, broadly speaking, helped students learn before those devices had wormed their way into America’s public schools. And now the onus is on parents to marshal arguments about the detriments of tech in schools.

Holly Coleman, a parent of two who lives in Kansas and is a substitute teacher in her district, describes what students are losing:

They can type quickly but struggle to write legibly. They can find info about any topic on the internet but can’t discuss that topic using recall, creativity or critical thinking. They can make a beautiful PowerPoint or Keynote in 20 minutes but can’t write a three-page paper or hand-make a poster board. Their textbooks are all online, which is great for the seams on their backpack, but tangible pages under your fingers literally connect you to the material you’re reading and learning. These kids do not know how to move through their day without a device in their hand and under their fingertips. They never even get the chance to disconnect from their tech and reconnect with one another through eye contact and conversation.

Jonathan Haidt’s new book, “The Anxious Generation: How the Great Rewiring of Childhood is Causing an Epidemic of Mental Illness,” prescribes phone-free schools as a way to remedy some of the challenges facing America’s children. I agree that there’s no place for smartphones on a K-12 campus. But if you take away the phones and the kids still have near-constant internet connectivity on devices they have with them in every class, the problem won’t go away.

When Covid hit and screens became the only way for millions of kids to “attend” school, not having a personal device became an equity issue. But we’re getting to a point where the opposite may be true. According to the responses to my questionnaire, during the remote-school era, private schools seemed to rely far less on screens than public schools, and many educators said that they deliberately chose lower-tech school environments for their own children — much the same way that some tech workers intentionally send their kids to screen-free schools.

We need to reframe the entire conversation around tech in schools because it’s far from clear that we’re getting the results we want as a society and because parents are in a defensive crouch, afraid to appear anti-progress or unwilling to prepare the next generation for the future. “I feel like a baby boomer attacking like this,” said Lewis.

But the drawbacks of constant screen time in schools go beyond data privacy, job security and whether a specific app increases math performance by a standard deviation. As Lewis put it, using tech in the classroom makes students “so passive, and it requires so little agency and initiative.” She added, “I’m very concerned about the species’ ability to survive and the ability to think critically and the importance of critical thinking outside of getting a job.”

If we don’t hit pause now and try to roll back some of the excesses, we’ll be doing our children — and society — a profound disservice.

The good news is that sometimes when the stakes become clear, educators respond: In May, Dr. Prater said, “we’re going to remove access to YouTube from our district devices for students.” He added that teachers will still be able to get access to YouTube if they want to show instructional videos. The district is also rethinking its phone policy to cut down on personal device use in the classroom. “For me,” he said, “it’s all about how do you find the common-sense approach, going forward, and match that up with good old-fashioned hands-on learning?” He knows technology can cause “a great deal of harm if we’re not careful.”

Jessica Grose is an Opinion writer for The Times, covering family, religion, education, culture and the way we live now.

Read our research on: Gun Policy | International Conflict | Election 2024

Regions & Countries

About half of americans say public k-12 education is going in the wrong direction.

About half of U.S. adults (51%) say the country’s public K-12 education system is generally going in the wrong direction. A far smaller share (16%) say it’s going in the right direction, and about a third (32%) are not sure, according to a Pew Research Center survey conducted in November 2023.

Pew Research Center conducted this analysis to understand how Americans view the K-12 public education system. We surveyed 5,029 U.S. adults from Nov. 9 to Nov. 16, 2023.

The survey was conducted by Ipsos for Pew Research Center on the Ipsos KnowledgePanel Omnibus. The KnowledgePanel is a probability-based web panel recruited primarily through national, random sampling of residential addresses. The survey is weighted by gender, age, race, ethnicity, education, income and other categories.

Here are the questions used for this analysis , along with responses, and the survey methodology .

A majority of those who say it’s headed in the wrong direction say a major reason is that schools are not spending enough time on core academic subjects.

These findings come amid debates about what is taught in schools , as well as concerns about school budget cuts and students falling behind academically.

Related: Race and LGBTQ Issues in K-12 Schools

Republicans are more likely than Democrats to say the public K-12 education system is going in the wrong direction. About two-thirds of Republicans and Republican-leaning independents (65%) say this, compared with 40% of Democrats and Democratic leaners. In turn, 23% of Democrats and 10% of Republicans say it’s headed in the right direction.

Among Republicans, conservatives are the most likely to say public education is headed in the wrong direction: 75% say this, compared with 52% of moderate or liberal Republicans. There are no significant differences among Democrats by ideology.

Similar shares of K-12 parents and adults who don’t have a child in K-12 schools say the system is going in the wrong direction.

A separate Center survey of public K-12 teachers found that 82% think the overall state of public K-12 education has gotten worse in the past five years. And many teachers are pessimistic about the future.

Related: What’s It Like To Be A Teacher in America Today?

Why do Americans think public K-12 education is going in the wrong direction?

We asked adults who say the public education system is going in the wrong direction why that might be. About half or more say the following are major reasons:

• Schools not spending enough time on core academic subjects, like reading, math, science and social studies (69%)
• Teachers bringing their personal political and social views into the classroom (54%)
• Schools not having the funding and resources they need (52%)

About a quarter (26%) say a major reason is that parents have too much influence in decisions about what schools are teaching.

How views vary by party

Americans in each party point to different reasons why public education is headed in the wrong direction.

Republicans are more likely than Democrats to say major reasons are:

• A lack of focus on core academic subjects (79% vs. 55%)
• Teachers bringing their personal views into the classroom (76% vs. 23%)

In turn, Democrats are more likely than Republicans to point to:

• Insufficient school funding and resources (78% vs. 33%)
• Parents having too much say in what schools are teaching (46% vs. 13%)

Views also vary within each party by ideology.

Among Republicans, conservatives are particularly likely to cite a lack of focus on core academic subjects and teachers bringing their personal views into the classroom.

Among Democrats, liberals are especially likely to cite schools lacking resources and parents having too much say in the curriculum.

Note: Here are the questions used for this analysis , along with responses, and the survey methodology .

Sign up for our weekly newsletter

Fresh data delivered Saturday mornings

‘Back to school’ means anytime from late July to after Labor Day, depending on where in the U.S. you live

Among many u.s. children, reading for fun has become less common, federal data shows, most european students learn english in school, for u.s. teens today, summer means more schooling and less leisure time than in the past, about one-in-six u.s. teachers work second jobs – and not just in the summer, most popular.

About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of The Pew Charitable Trusts .

5 Big Challenges Facing K-12 Education Today—And Ideas for Tackling Them

• Share article

Big Ideas is Education Week’s annual special report that brings the expertise of our newsroom to bear on the challenges educators are facing in classrooms, schools, and districts.

In the report , EdWeek reporters ask hard questions about K-12 education’s biggest issues and offer insights based on their extensive coverage and expertise.

The goal is to question the status quo and explore opportunities to help build a better, more just learning environment for all students.

In the 2023 edition , our newsroom sought to dig deeper into new and persistent challenges. Our reporters consider some of the big questions facing the field: Why is teacher pay so stubbornly stalled? What should reading instruction look like? How do we integrate—or even think about—AI? What does it mean for parents to be involved in the decisionmaking around classroom curriculum? And, perhaps the most existential, what does it mean for schools to be “public”?

The reported essays below tackle these vexing and pressing questions. We hope they offer fodder for robust discussions.

To see how your fellow educator peers are feeling about a number of these issues, we invite you to explore the EdWeek Research Center’s survey of more than 1,000 teachers and school and district leaders .

Please connect with us on social media by using #K12BigIdeas or by emailing [email protected].

1. What Does It Actually Mean for Schools to Be Public?

Over years of covering school finance, Mark Lieberman keep running up against one nagging question: Does the way we pay for public schools inherently contradict what we understand the goal of public education to be? Read more →

2. Public Schools Rely on Underpaid Female Labor. It’s Not Sustainable

School districts are still operating largely as if the labor market for women hasn’t changed in the last half century, writes Alyson Klein. Read more →

3. Parents’ Rights Groups Have Mobilized. What Does It Mean for Students?

Libby Stanford has been covering the parents’ rights groups that have led the charge to limit teaching about race, sexuality, and gender. In her essay, she explores what happens to students who miss out on that instruction. Read more→

4. To Move Past the Reading Wars, We Must Understand Where They Started

When it comes to reading instruction, we keep having the same fights over and over again, writes Sarah Schwartz. That’s because, she says, we have a fundamental divide about what reading is and how to study it. Read more→

5. No, AI Won’t Destroy Education. But We Should Be Skeptical

Lauraine Langreo makes the case for using AI to benefit teaching and learning while being aware of its potential downsides. Read more→

Sign Up for The Savvy Principal

Edweek top school jobs.

Sign Up & Sign In

‘Abbott Elementary’s Latest Episode Doesn’t Address Its Biggest Problem

'Abbott Elementary' turns this relevant conversation into a joke.

Editor's Note: The following contains spoilers for Season 3 Episode 9 of Abbott Elementary.

The Big Picture

• Episode 9 of Abbott Elementary humorously addresses AI generators, deviating from real educational issues.
• The focus on AI writing in the episode fails to tackle essential concerns, emphasizing personal impact instead.
• Abbott Elementary misses the mark on discussing AI in education, using humor and personal relationships as the main focus.

Abbott Elementary focuses on the lives of teachers working for a largely overlooked elementary school in Philadelphia. With the ineffective principal, Ava ( Janelle James ) , and an apathetic school board, the teachers face plenty of problems as they attempt to educate and care for their students. Because of the setting, Abbott Elementary is uniquely able to address real issues , especially regarding education, and often does so. With creative problem-solving, resourcefulness, and determination, the teachers of Abbott Elementary advocate for their students continuously. Discussing everything from the issues underfunded schools face to the importance of ensuring that children with disabilities get the help they need, the series does not shy away from difficult topics, but the latest addition to the list left something to be desired.

Diving into the issue of AI generators, Abbott Elementary takes the focus away from the technology's growing and problematic role in education to center on the teachers' lives . This hilarious plot shows coworkers using it to avoid responding to emails and hurting feelings in the process. While it makes for a good episode, it doesn't address the issue. The impact AI writing can have on a friendship is far different from what it does for education. AI may be relevant now, but not for the issues that Abbott Elementry addressed. While the story is amusing, it only loosely pertains to the discussion surrounding AI, showing teachers making excuses for using them rather than focusing on the real issue they present.

Abbott Elementary

A workplace comedy centered around a group of dedicated teachers - and an oblivious principal - in a Philadelphia public school where, despite the odds stacked against them, they are determined to help their students succeed in life.

What Role Does AI Writing Play in 'Abbott Elementary'?

In Season 3 , Episode 9, "Alex," the series discusses AI generators and how they are used to avoid work, but it is not the focus of the episode . The installment centers on Janine's ( Quinta Brunson ) new job opportunity and her and Gregory's ( Tyler James Williams ) concern about a student not attending class. But, while they deal with that, there is different drama going on among the teachers. The B plot shows Jacob's ( Chris Perfetti ) AI detection lesson, revealing that, though his students are doing their work, his coworker's kind responses to his emails are not written by them at all. Barbara ( Sheryl Lee Ralph ) and Melissa ( Lisa Ann Walter ) use AI to respond to Jacob's many long emails, but when their secret comes out, they don't regret it. Instead, Barbara and Melissa paint it as a kind act because otherwise, he wouldn't get any responses. However, Jacob is hurt and angered by their deceit, causing an argument.

While Barbara and Melissa try to explain themselves and reconcile with Jacob, the plot takes an ironic turn. The janitor, Mr. Johnson ( William Stanford Davis ), sends out a long email about spring cleaning, and Jacob, short on time, uses AI to respond. However, Barbara and Melissa take the time to write a response, which they wouldn't do for Jacob. Once at the other end of the issue, Jacob realizes that he overreacted and agrees to send fewer emails in exchange for genuine responses, resolving the issue with little incident.

'Abbott Elementary' Doesn't Address the Real Issue With AI-Generated Writing

While AI technology becomes more difficult to distinguish, it presents a real problem for educators whose students could try to use it instead of doing the work themselves, but that is not what the plot explores. Instead, the series makes it into a joke where, for a long time, Jacob cannot distinguish the responses from what his friends would actually say. The show begins strongly by putting the teachers in a student's situation by having them avoid responsibilities and using this software instead, but the two circumstances are very different. The role reversal could have been an interesting way to tackle the topic, but Abbott Elementary fails to make the situation compatible.

The show focuses on the emotional impact of AI on relationships, not education. While Barbara, Melissa, and Jacob use AI writing to avoid work, it is a very different situation. Jacob believed he was building stronger friendships with his coworkers , but the truth takes that away, angering him. The plot focuses on how Jacob, as the wronged party, feels. However, that concept doesn't apply to students using AI. The way it is discussed is detrimental to the real arguments against AI in educational settings .

Barbara and Melissa excuse their actions because Jacob's emails are long and boring. Never are the characters remorseful for taking credit for work they did not do . Instead, they only seem to care because of how it hurts Jacob. This reaction seemingly justifies similar arguments when it does not pertain to a personal relationship, like when it comes to avoiding boring homework. And in the end, Jacob takes the blame because he sends too many emails. Cheating to avoid work is not excusable because of frequency, even if it isn't in an educational setting. Abbott Elementary fails to address the real issues surrounding AI , and how the show discusses it is fairly problematic.

‘Abbott Elementary’s Newest ‘Ship Just Makes Sense

This episode of 'abbott elementary' has another focus in episode 9.

Though the episode does not dive into the larger issues surrounding AI, it focuses on a different problem. As reflected in the title, the main plot is about Janine and Gregory visiting a student who has not been attending class and pressing the importance of showing up to school. As any college student who got too comfortable skipping class can tell you, you must be present to learn. Though attendance is not a new issue, like AI, it is essential for education. AI was never the intended focus of the episode , which explains why it became a joke rather than a real discussion, but the topic should have been handled with more care.

AI is a relevant topic of conversation at the moment, especially as it pertains to education. With the setting, it's natural that Abbott Elementary would include this issue, but the story did not focus on the real problems of the topic. The plot is hilarious in exposing the characters' hypocrisy, with both Barbara and Melissa doing what would be unacceptable from a student and Jacob doing the same thing to Mr. Johnson that made him angry in the first place. However, the story does not bring up the important points . On the surface, this is a fun B plot, but it is mostly irrelevant to the actual issue.

Abbott Elementary airs Wednesdays on ABC and is available to stream next day on Hulu in the U.S.

WATCH ON HULU

We couldn’t find any results matching your search.

Please try using other words for your search or explore other sections of the website for relevant information.

We’re sorry, we are currently experiencing some issues, please try again later.

Our team is working diligently to resolve the issue. Thank you for your patience and understanding.

News & Insights

Technology Sector Update for 04/12/2024: MSFT, GOOG, NXPL

April 12, 2024 — 01:47 pm EDT

Written by MT Newswires for MTNewswires  ->

Tech stocks slumped Friday afternoon with the Technology Select Sector SPDR Fund (XLK) falling 1.7% and the SPDR S&P Semiconductor ETF (XSD) tumbling 3.5%.

The Philadelphia Semiconductor index dropped 3%.

In corporate news, Microsoft-backed ( MSFT ) OpenAI Chief Executive Sam Altman hosted events this month in San Francisco, New York and London with hundreds of Fortune 500 company executives to demonstrate artificial-intelligence services for corporate use, Reuters reported. Microsoft shares fell 1.7%.

Video game maker Epic Games urged a California judge to require Alphabet's ( GOOG ) Google to make its Play Store more available to competitors who want to use the platform to distribute Android apps and billing services. Alphabet shares fell 1.2%.

NextPlat ( NXPL ) shares surged 27% after the company signed a business combination agreement with Progressive Care, its majority owned subsidiary.

The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.

Stocks mentioned

More related articles.

This data feed is not available at this time.

Sign up for the TradeTalks newsletter to receive your weekly dose of trading news, trends and education. Delivered Wednesdays.

To add symbols:

• Type a symbol or company name. When the symbol you want to add appears, add it to My Quotes by selecting it and pressing Enter/Return.
• Copy and paste multiple symbols separated by spaces.

These symbols will be available throughout the site during your session.

Your symbols have been updated

Edit watchlist.

• Type a symbol or company name. When the symbol you want to add appears, add it to Watchlist by selecting it and pressing Enter/Return.

Opt in to Smart Portfolio

Smart Portfolio is supported by our partner TipRanks. By connecting my portfolio to TipRanks Smart Portfolio I agree to their Terms of Use .