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THE IMPACT OF TECHNOLOGY ON HIGHER EDUCATION IN THE 21 st CENTURY: A SYSTEMATIC LITERATURE REVIEW

2024, GAP iNTERDISCIPLINARITIES A Global Journal of Interdisciplinary Studies, (ISSN - 2581-5628 ) Impact Factor: SJIF - 5.363, IIFS - 4.875

In the ever-evolving landscape of 21st-century higher education, this article delves into the transformative role technology plays in reshaping how we acquire, disseminate, and apply knowledge. From the traditional chalkboards to interactive screens, the evolution has been revolutionary, woven into the fabric of our daily lives. The exploration draws on scholarly sources, navigating through digital tools, platforms, and strategies, from classrooms to online environments, and from augmented reality to artificial intelligence. The literature review assesses the remarkable transformation catalyzed by digital technologies, examining themes such as digital natives, blended learning, immersive technologies, adaptive learning, and data analytics. It uncovers both opportunities and challenges, addressing issues of equity and ethical considerations. The research questions focus on technology's impact on student engagement, learning outcomes, and equitable access. Objectives include elevating student digital literacy and enhancing teacher proficiency in online pedagogy. The methodology combines a comprehensive literature review with practical interventions and data analysis. The article concludes by emphasizing the dynamic nature of technology in education, acknowledging challenges, and calling for ongoing research and critical evaluation to shape the future of learning.

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

• Open access
• Published: 16 November 2023
• Volume 2 , article number  44 , ( 2023 )

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• Mgambi Msambwa Msafiri 1 ,
• Daniel Kangwa 1 &
• Lianyu Cai 1  

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This study is rigorous of peer-reviewed literature on the integration of information and communication technology (ICT) tools in secondary schools. It analyzed the impact of ICT integration on the teaching and learning process based on 51 sampled studies. The findings are thematically presented under the benefits of improving teaching and learning processes regarding curriculum coverage, equitable access, shared learning resources, and personalized learning. Furthermore, challenges were found in professional development, pedagogical and technological knowledge, and resource maintenance. Among the best practices and strategies to resolve these challenges were regular supply and systems maintenance, curricula realignment, ICT policy formulation, and engaging all stakeholders in ICT integration. Recommendations: practitioners should adopt, adapt, and innovate pedagogical approaches, strategies, and methods to facilitate the use of ICT in teaching and learning and should align and integrate ICT tools with curriculum objectives, content, or standards by exploring and using diverse and dynamic ICT tools and methods in secondary schools.

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1 Introduction

Information and communication technology (ICT) is a powerful tool capable of transforming education and enhancing learning outcomes. As a result of this technology, students can access information, collaborate with peers and teachers, develop critical thinking skills and problem-solving abilities, and express their creativity and innovation. Additionally, it can assist teachers in designing and delivering more effective and personalized instruction, assessing and monitoring student progress, and engaging in continuous professional development [ 1 , 2 ]. Despite this, integrating ICT into education is not without challenges; each context and subject area has specific needs, challenges, and opportunities that must be considered during the planning, implementation, evaluation, and improvement process. This analysis, therefore, aims at identifying gaps and limitations in the literature and argues that it is essential to thoroughly review the current literature to synthesize the knowledge about what works, what does not, and the next steps to take to yield the best results out of the integration process.

Furthermore, education has become more integrated with ICT in the twenty-first century, thriving on advancements in computer technology; teaching and learning in secondary schools can be improved in various ways. There is a possibility to support, enhance, or alter the processes and outcomes of teaching and learning in secondary schools through the efficient and successful implementation of ICT [ 3 ]. As a result of the use of ICT in the classroom, particularly in secondary schools, students' learning outcomes, motivation, engagement, and skill development are improved, as well as teachers' attitudes, practices, and beliefs about teaching and learning [ 4 , 5 ]. It is, therefore, imperative that stakeholders work together to overcome the obstacles and problems that prevent secondary schools from fully integrating ICT by addressing challenges such as a lack of resources, training, time, support, curriculum alignment, and pedagogical change [ 6 , 7 ] that interfere with successful integration.

Hence, providing a comprehensive analysis of empirical studies relevant to ICT in secondary schools and learning, the purpose of this systematic literature review is to provide a comprehensive review of the empirical studies. This is because secondary education is integral in preparing young people for life, work, and higher education in the twenty-first century, making integrating ICT into various subjects to be indispensable for improved teaching and learning.

1.1 Research question

The systematic review will analyze the included studies to attain its objective by addressing the following questions:

RQ1: Which benefits of ICT integration exist in secondary schools for teaching and learning?

RQ2: What challenges and barriers hinder ICT’s practical and meaningful integration in teaching and learning?

RQ3: Which best practices and strategies have been implemented for effective ICT integration in secondary schools?

The study contributes to the existing knowledge base on ICT integration in secondary schools by providing a comprehensive overview of the current state of the art and highlighting the gaps and areas for further research. The study also offers practical implications and recommendations for policymakers, educators, researchers, and stakeholders interested in ICT integration in secondary schools. The study is particularly relevant for developing countries, where ICT integration in secondary school education is still in its early stages of implementation and faces many challenges [ 8 ]. Developing countries are home to many young people who need quality education to achieve their potential and contribute to their nation’s social and economic development. Hence, this exploration is timely and essential.

Therefore, to achieve this objective, a systematic literature review was conducted using a six-step process, including team selection, protocol creation, extensive search, screening and selection of studies, data extraction and analysis, and reporting and dissemination of findings. The recommendations from the Cochrane Handbook for Systematic Reviews served as the foundation for the procedure [ 9 ]. Both narrative and quantitative approaches were employed for the data synthesis. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework was used to prepare this study [ 10 ].

The structure of this article includes Sect.  1 , which is the background information on ICT integration in secondary education, and an overview of the systematic review methodology is provided in Sect.  2 , encompassing a search strategy, inclusion and exclusion criteria, quality assessment, extraction, and synthesis of data. The results are presented in Sect.  3 as descriptive statistics, thematic analysis, and synthesis. Section  4 discusses the main findings, the implications of this rigorous analysis, and its limitations and directions for possible future research. Finally, Sect.  5 presents the synthesized results and discussion.

This study applies a rigorous and transparent methodology based on the Cochrane Handbook for Systematic Reviews [ 11 ] and the PRISMA guidelines [ 10 ]. The study procedure progressed through six steps: selecting the team, developing the protocol, conducting a comprehensive literature search, screening and selecting studies, extracting and analyzing data, and reporting the results. The main objective was to investigate information and communication technology (ICT) use in secondary school education. Furthermore, the research aimed to understand better the impact and challenges of integrating ICT tools in secondary education. To sufficiently address the research problem and the stated objective, we selected a qualitative methodology based on a systematic literature review (SLR) guided by the PRISMA framework protocol [ 10 ] on integrating ICT in secondary school. The research questions were formulated to address the integration of ICT, the impact, and challenges faced in the process of integrating ICT in secondary schools, as shown in Table 1 .

2.1 Eligibility criteria

The sampled articles were considered eligible based on the document characteristics of being published:

in peer-reviewed journals,

in the English language,

between 2008 and July 11, 2023.

Additionally, content criteria and empirical studies with quantitative and qualitative methods were included, discarding theoretical studies dealing with ICT in settings other than secondary school.

2.2 Data sources and search strategy

The included studies were identified and retrieved from Scopus and Eric electronic databases. For the search and selection of articles, we used the search terms and their combinations as “integration”, “technology”, “secondary”, “school”, “ICT” “ICT in secondary education”, “ICT in secondary schools”, “implication of ICT in education”, “implication of ICT in secondary schools”, “benefits of ICT in secondary school”, “challenges in the implementation of ICT”, “challenges in the implementation of ICT in secondary school”, “impact of ICT in secondary school”, and “best practices in ICT implementation in secondary schools”.

2.3 Quality appraisal

The sample was selected using the JBI Checklist for Systematic Reviews and Research Syntheses. The checklist contains 11 questions, and the inclusion criteria were scored as "yes", "no", "unclear", or "not applicable" [ 12 ]. The automated inclusion and exclusion criteria were conducted by the three researchers who examined the search results by evaluating the abstracts to determine whether the study was suitable for the analysis of the benefits, challenges, and strategies employed to enhance ICT integration in secondary schools. In addition, studies were excluded if they did not meet the criteria after an objective comparison of the decisions of the independent researchers. The researchers' independent decisions had an interrater reliability of 94%, which was increased to 100% after the discussion among the three researchers to resolve and determine the suitability of the disputed studies.

2.4 Data analysis

The identified articles were 1363 from Scopus and Eric electronic databases, which were later cleaned up for duplicate records before screening. After the automated inclusion and exclusion process, 553 records were selected for further screening and eligibility assessment, which resulted in 51 sampled studies for this systematic analysis, as presented in Fig.  1 .

Flowchart for inclusion and exclusion process

The results section is a descriptive and thematic analysis and presentation of the 51 included studies.

3.1 Description of the articles under analysis

The systematic review included studies from 2008 to 2023 to establish the trends and gaps in the integration and impact of ICT in secondary schools. According to the article distribution in Fig.  3 , most of our sampled studies were published in 2020 and 2022, followed by 2023. However, 2023 will likely receive more publications since the literature search was conducted in June 2023. The findings indicate that most of the included studies were published in 2022 and were distributed as in Fig.  2 .

Publications by year (n = 51)

Furthermore, the studies were analyzed based on the methodology used. It was established that mainly quantitative methods were used in most of the sampled studies, and the least used method was the survey, as shown in Fig.  3 .

Sampled studies by methodology

The systematic review categorized the included studies according to the country in which they were published. The article distribution by country indicates that many studies were conducted in Malaysia, as shown in Fig.  4 .

Distribution by country

3.2 Thematic analysis

This section presents the findings according to the identified themes in relation to the research questions. The theme identification process involved the two authors independently analyzing the included studies with regard to the research questions and eligibility for the full-text screening. There was consultation with a third author in settling any disputes. This procedure of screening the full text and extracting the data was conducted thoroughly, as illustrated in the PRISMA flow diagram in Fig.  1 . Then, the initial coding for key terms was summarized into themes that emerged from the process, categorized according to the research questions as in Table 2 .

3.2.1 Themes in ICT integration

ICT integration in secondary education is characterized by some common themes, patterns, distinctions, and variations across subjects. The analyzed studies highlight that ICT integration is not only an essential tool to make teaching more interesting and sufficiently transmit twenty-first century skills to learners in current secondary schools but also plays a vital role in enhancing student’s learning outcomes, motivation, engagement, and critical and innovative thinking development [ 13 , 18 ]. Therefore, this study identified three themes surrounding the integration of ICT in secondary schools: the benefits, the challenges, and the best practices and strategies for making ICT an integral and beneficial tool for teaching and learning. Indeed, several factors have influenced and impacted the successful integration of ICT in various subject areas.

These factors can be loosely classified as student factors and teacher factors. Student factors can be termed those that affect students' learning processes, while teacher factors impede the teacher’s abilities to deliver the learning experiences in the teaching process. This analysis discovered that student factors can be minimized by integrating appropriate ICT tools, especially tools and methods that align with the subject's learning objectives, content, and pedagogy [ 4 , 31 ]. For ICT integration to be effective, a number of considerations need to be made, such as the quality of the ICT tools and methodologies, student involvement, learning interaction, and the assessment methods to be used [ 16 , 28 ].

On the other hand, teacher factors such as inadequate professional development, lack of sufficient school support, and pedagogical knowledge influence teachers' attitudes, beliefs, and behaviors, which determine their desire and actual ICT integration in various subjects. Based on the findings, instructors can use ICT tools in a variety of ways, and how they adapt and use them can affect how they view, adopt, and use these tools [ 27 , 29 ]. ICT integration skills can be developed through professional development [ 32 ], while school leadership and support can also assist teachers with ICT integration by providing them with resources, guidance, and motivation [ 21 , 33 ]. The teacher’s pedagogical expertise and views may also contribute to the tactics they use to integrate ICT into their classrooms, such as whether they prefer student- or teacher-centered approaches [ 25 ]. The integration of ICT tools may be affected not only by student and teacher factors but also by the nature of the subject area and its associated learning experiences. Therefore, the distribution of ICT integration of the sample by subject areas demonstrates that the highest integration level of ICT tools was recorded at 33% in ICT as a subject, followed by STEM subjects at 17%, as shown in Fig.  5 .

Distribution of ICT tools integration in subjects

4 Discussion

Based on this systematic literature review, we provide insights into how ICT is used in schools to improve teaching and learning. To comprehensively explain the findings, the research questions that guided this study have been categorized and discussed.

RQ1: What are the benefits of using ICT in secondary education?

RQ1 examined how ICT integration impacts secondary schools' learning outcomes, motivation, engagement, and skill development. About Eleven studies covering mathematics, science, language, and social studies addressed this question based on the rigorous inclusion criteria. The integration of ICT in secondary schools has been found to benefit the teaching and learning processes by improving the quality and pace of curriculum coverage. It is without doubt that integrating computers in the teaching and learning process, if well done, may translate into efficiency, but if not well done, it becomes disruptive. It may disorient both the teachers and learners from attaining their academic goals.

Therefore, this study aimed at synthesizing the benefits of effective ICT integration, which would foster impactful advances in secondary schools’ educational attainments. The twenty-first century has registered considerable advancements in computer technology, transforming various sectors of society and increasing demand for advanced computer skills. This requires that teaching and learning at all levels, particularly in secondary schools, be improved to support, enhance, and alter the processes and outcomes of teaching and learning through the efficient and successful implementation of ICT tools in schools [ 3 ]. As a result, using ICT in the classroom improves students' learning outcomes, motivation, engagement, skill development, and teachers' attitudes, practices, and beliefs about the teaching and learning process [ 4 , 31 ]. Therefore, stakeholders must work together to promote fully effective and practical integration of ICT tools by addressing issues such as a lack of resources, training, time, support, curriculum alignment, and pedagogical change [ 6 , 7 ] that interfere with successful integration. Apart from human resource skills development, other suitable resources and tools, such as software packages, should be made available to secure a meaningful integration.

According to Latifi [ 34 ], GeoGebra software, for instance, was used to teach geometry in Mathematics, improving students' geometry knowledge and performance. Furthermore, it showed that academic achievement, conceptual understanding, problem-solving skills, and creativity were all positively affected by the ICT integration on student learning outcomes. Indeed, Woodrich [ 13 ] confirmed that students' writing skills, creativity, motivation, and achievement in biology increased using Moodle LMS [ 6 ]. In a study conducted by Thibaut [ 20 ], students' inquiry skills and scientific literacy were also improved through WebQuest. It is clear that effective ICT integration in different subjects positively influences the motivation, engagement, and skill development of both the teacher and the learners, making their work more exciting and easier to understand. Therefore, when ICT tools are appropriately used, curriculum content and information are accurately and diversely presented, enhancing learners' ability to grasp concepts and ideas more efficiently and accurately, making the teaching and learning process easier and more interesting.

Another set of benefits can be presented under access to the learning process. Furthermore, the effective integration of ICT in the educative process gives learners better access to curriculum content and information; for example, a teacher can make the learning experiences available for learners at all times. That is, learners are made to conveniently access online learning experiences as they enjoy the freedom to continue learning at their convenience. In addition, effective ICT integration enables learners to collaborate with peers and teachers, develop critical thinking and problem-solving abilities, and express their creativity and innovation during their learning. Moreover, effective ICT integration can also enhance and make learning more personalized. In this regard, ICT tools can assist teachers in designing and delivering more effective and personalized instruction assessments, monitoring student progress, and engaging them in different learning activities.

Furthermore, personalized learning enables the equitable sharing of learning resources such as e-textbooks, course wares, computers, digital media, and other resources available to learners according to their learning needs. The equitable sharing of learning resources has been confirmed by different studies to positively affect students' interest, curiosity, confidence, and satisfaction in learning when ICT tools are effectively integrated into the teaching and learning processes. For example, learning resources shared through WebQuest promoted active participation, collaboration, communication, and self-regulation among students, while Lie [ 14 ] found that equitably shared digital libraries also increased student engagement and reading comprehension. In this case, digital storytelling increased students' motivation and collaboration, as supported by Smeda [ 4 ] and Karahan [ 15 ], who stated that the Autograph software stimulated students' curiosity and confidence in mathematics. These and many other benefits can be accrued from an effective ICT integration in secondary schools, as shown in Table 2 and further discussed under RQ3 below on the effectiveness of ICT tools and different strategies and practices that have been implemented in the school environment.

The results identified some limitations and challenges associated with using ICT in secondary schools. There were technical challenges, such as lack of access, reliability, compatibility, and security of ICT tools and resources. Some concerns were pedagogical issues related to curriculum alignment, assessment methods, and instructional strategies. Students and teachers were sometimes not motivated, interested, or ready to use ICT due to psychological problems.

Therefore, a total of 16 studies, among the included studies in this review, identified barriers and challenges to effective and meaningful integration of ICT in secondary schools. They identified factors that negatively affect ICT integration, such as lack of resources, training, time, support, curriculum alignment, and lack of pedagogical change. According to Chen [ 17 ], technical difficulties or insufficient guidance contributed to some students' frustrations with WebQuest, while Toma [ 18 ] discovered that teachers had negative attitudes toward digital storytelling because they had not been properly trained or supported. Further, Dockendorff [ 19 ] highlighted that some curricula did not adequately include or evaluate ICT integration and evaluation.

Inadequate ICT tools and resources: inadequate, inaccessible, unreliable, and insecure ICT tools pose challenges for teachers and students to use ICT effectively and efficiently. It was found by Planinc [ 7 ] that some preservice mathematics teachers lacked access to GeoGebra software and computers at school or home. According to Smeda [ 4 ], some language teachers face technical difficulties when using digital storytelling tools. At the same time, the Moodle Learning Management System (LMS) had compatibility issues and security concerns for some in-service science teachers [ 23 ].

Insufficient or inadequate training: Teachers lack access to adequate, relevant, high-quality, or frequent professional development opportunities to enhance their abilities to integrate ICT effectively. According to Mohd Ayub [ 28 ], some in-service mathematics teachers lacked the training and experience to use GeoGebra effectively, and in-service biology teachers were not given enough support or training when using Moodle LMS [ 6 ]. Similarly, preservice language teachers lacked training and feedback while using digital storytelling in their classrooms [ 24 ].

Insufficient Planning Time: There is a lack of time for teachers to plan, implement, evaluate, or improve their ICT integration practices because of insufficient allocation, management, or flexibility of time. Mostly, teachers face this challenge, as they are not always able to use ICT effectively or efficiently due to a lack of time. Lie [ 14 , 20 ] found a lack of time for designing and implementing WebQuest projects in the classroom among preservice science teachers. Some in-service language teachers did not have adequate time to explore digital libraries or use them to enhance their teaching; according to Lie [ 14 ] in their study, Bratland [ 25 ] reported that some in-service mathematics teachers did not have time to learn and use GeoGebra software.

Inadequate Technical Support: There is a lack of support for teachers on technical, pedagogical, and emotional levels in terms of provision, quality, relevance, or frequency to improve their ability and competence in integrating ICT. Usually, this is coupled with a lack of appropriate ICT support for teachers, resulting in their inability to use ICT effectively or efficiently. Karahan [ 15 ] found that in-service math teachers lacked technical support when using Autograph software. When using WebQuest for teaching social studies, some in-service teachers lacked sufficient pedagogical support [ 16 ].

Misaligned Curriculum: ICT tools and methods are not aligned, integrated, or coherent with curriculum objectives, content, or standards for teaching and learning when they are not aligned, integrated, or coherent. There may be an inconsistency between the use of ICT and curriculum goals or expectations, which affects both teachers and students. Chen [ 17 ] found that WebQuest was not aligned or integrated with curriculum standards and objectives among in-service language teachers. It has been reported by Toma [ 18 ] that some in-service language teachers lack coherence between digital storytelling and curriculum content. The use of ICT in teaching and learning is not adequately incorporated or evaluated in some curricula [ 19 ].

Inadequate ICT Pedagogic Skills: ICT may not be sufficient for supporting, enhancing, or transforming teaching and learning if pedagogical approaches, strategies, or methods are not adopted, adapted, or innovated. This challenge mainly affects teachers, who may not have enough pedagogical changes to use ICT effectively. Several preservice mathematics teachers were not sufficiently adopting GeoGebra software or adapting it to their existing pedagogical practices [ 7 ]. Digital storytelling did not lead to enough innovation in pedagogical practices for some in-service language teachers [ 4 ]. For some in-service teachers, ICT was ineffective in shifting science teachers from teacher-centered to student-centered learning [ 35 ].

According to the research conducted on RQ3, teachers' attitudes, beliefs, and practices regarding the integration of ICT are influenced by professional development, school support, leadership, pedagogical understanding, and technical knowledge. The review included 14 studies that addressed this question. These studies covered various aspects of teacher education, including preservice training, in-service training, mentoring, coaching, collaboration, reflection, feedback, evaluation, and certification. Most studies indicate that enhancing teachers' ICT integration skills and competencies requires professional development opportunities. Professional development significantly influenced teacher attitudes, beliefs, and practices related to ICT integration, as in the following examples:

Planinc and Kolnik [ 7 ] found that GeoGebra workshops improved preservice mathematics teachers' technological pedagogical content knowledge (TPACK) and confidence in using GeoGebra.

Ilona-Elefteryja [ 6 ] established that biology teachers who attended a Moodle LMS course were more self-efficacious and motivated to use Moodle LMS in the classroom.

Thibault [ 20 ] identified that preservice science teachers who worked on WebQuest designed projects improved their inquiry skills as well as their pedagogical reasoning and

Lie [ 14 ] reported that mentored in-service language teachers became more proficient in digital literacy and pedagogical strategies for utilizing digital libraries.

Furthermore, school support, leadership, and culture can facilitate or hinder ICT integration in secondary education. In addition to providing adequate resources, infrastructure, and technical assistance for ICT integration, school support includes creating a shared vision, mission, and goals for ICT integration; fostering a supportive, collaborative, and innovative school climate for ICT integration; and rewarding, and recognizing teachers and students for their efforts and achievements. School leadership modeled, promoted, and advocated ICT integration, empowering, encouraging, and inspiring teachers and students. It also involved monitoring, evaluating, and improving the effectiveness and quality of integrating ICTs in the teaching and learning process, as itemized in the following examples which;

teachers' attitudes and practices regarding using Autograph software in mathematics were positively correlated with school support and leadership, as Karahan [ 15 ] observed,

Ruggiero and Mong [ 16 ] stated that obtaining school support and leadership was one of the most critical factors in implementing WebQuests to teach social studies and finally,

strong school leadership and school support can foster a culture of innovation and collaboration among teachers and students in the use of ICT, as Ramos and de Andrade [ 21 ] suggested.

Therefore, there should be a holistic and systemic approach to incorporating ICT tools in secondary education to achieve effective ICT integration. This empirical review shows that ICT integration involves changing teachers' and students' beliefs, attitudes, and behaviors, not just pedagogical or technical issues. Hence, the sampled studies attempted to address this issue by investigating how ICT tools could be meaningfully integrated into the learning environment in a quest to integrate useful ICT tools to improve the learning process and the well-being of its users. Sampled studies investigated the integration of a variety of ICT tools and methods, such as digital storytelling, WebQuest, GeoGebra, Moodle LMS, Autograph, and digital libraries. The studies described ICT tools and methods in terms of their features, functions, advantages, and disadvantages and granting examples of the impacts of these ICT tools in the learning environment.

As an example, Multimedia stories can be created and shared using digital tools and platforms. Through the study of digital literacy, students can improve their writing skills, creativity, motivation, collaboration, and communication skills. Moreover, it allows students to express their opinions, emotions, and experiences meaningfully. Language, social studies, and the arts are all possible applications of this technique [ 4 , 13 , 18 , 29 ]. Online resources are used to create and complete WebQuests, which are inquiry-based tasks. Student learning can be enhanced by improving inquiry skills, scientific literacy, critical thinking, problem-solving, and self-regulation. It also allows students to explore everyday issues, questions, and problems in a structured environment. In addition to science, mathematics, and social studies, this approach benefits all subjects [ 16 , 17 ].

Furthermore, GeoGebra uses algebraic expressions to create geometric constructions that can be modified dynamically. Students will learn geometry concepts more deeply, become more curious, and gain greater self-confidence through the program. Besides, it may be used to visually represent, explore, or prove geometric relationships, properties, and theorems. This approach may teach mathematical subjects [ 7 , 25 , 28 ]. You can manage and deliver online courses with multiple modules and activities with the Moodle Learning Management System. When students are motivated, engaged, and collaborate during the learning process, they are more likely to achieve, be motivated, and be engaged. Teachers can also use this software for designing, delivering, assessing, and monitoring online courses. It can cover various topics [ 6 , 23 ].

In addition, Using an Autograph program, dynamic graphs can be manipulated using numerical data and functions. Exposure to graphing concepts results in students performing better, understanding more, feeling more confident, and being more curious. Also, students can interact with graphs by visualizing, exploring, and analyzing them. To practice mathematics, users can access digital resources such as books, articles, images, and videos through digital libraries [ 14 , 15 ] and students can become more engaged, read more, and understand digital literacy better. As a result of a digital resource management system [ 14 ] digital resources can also be provided, organized, and recommended for use in a wide variety of subjects. In secondary education, ICT tools and methods suggest that it is a dynamic phenomenon that requires an adaptable and flexible approach to address diverse topics and situations. ICT integration is used to develop, implement, evaluate, and improve ICT-based learning activities to support, enhance, and transform teaching and learning. Based on our systematic review, Table 3 summarizes our discussion of challenges and possible solutions associated with the integration of ICT in secondary schools.

4.1 Implications for policy and practice

The implications of this systematic literature review for policy and practice in secondary education are numerous. Policymakers should consider implementing ICT integration in secondary education with clear, coherent, comprehensive policies and guidelines addressing various dimensions and factors. These factors are associated with ICT integration, including resources, training, support, curriculum alignment, and pedagogical changes. In secondary education, providing adequate and appropriate resources, infrastructure, and technical assistance is essential to ensuring that ICT tools and resources are available, accessible, reliable, compatible, and secure. Improving teachers' attitudes, beliefs, and practices related to ICT integration should support and facilitate effective and meaningful professional development opportunities. In addition, a shared vision, mission, and goals for ICT integration in secondary education should be created by cultivating a supportive, collaborative, and innovative school culture and climate. A culture and climate that inspires teachers and students to use ICT in education and recognizes, rewards, and celebrates teachers and students' ICT integration achievements.

Practitioners should incorporate ICT tools in teaching and learning to enhance, support, and transform student learning outcomes, motivation, engagement, and skills development. This can be achieved by adopting and adapting strategies and pedagogical methods to integrate ICT tools into the secondary school learning environment efficiently. The integration should be aligned and well coordinated with the curriculum's objectives, content, and standards for teaching and learning purposes. Therefore, Table 3 outlines how the practitioners can address the different issues surrounding the ICT tools integration in the learning process. For example, various topics and situations in teaching and learning may require practitioners to explore, use, or suggest ICT tools and methods to address each context and subject area's specific needs, challenges, and opportunities. There should be effective mechanisms for monitoring, assessing, and improving the quality and effectiveness of ICT integration in teaching and learning by planning, implementing, evaluating, and improving ICT-based learning activities. It is evident from this systematic literature review that a framework is needed to promote better computer-aided learning in secondary schools and to integrate ICT effectively. Therefore, to ensure an effective and beneficial integration of ICT tools in schools, the researchers have proposed the ICT integration framework as in Fig.  6 , illustrating how different aspects of an effective integration interact within an integration system.

ICT integration framework

According to the sampled studies, effective integration of ICT depends on students' and teachers' motivation [ 13 , 18 , 19 , 28 ] Additionally, the authors recommend that secondary schools align ICT integration with their curricula [ 6 , 20 ] and learning objectives as well as maintaining ICT tools [ 4 , 14 ] and develop appropriate ICT skills for teachers as well as learners [ 15 , 16 , 17 ]. Therefore, ICT integration depends mainly on capacity development [ 6 , 7 ], which should be focused on harnessing technological knowledge with pedagogical understanding [ 16 , 21 ] in a conducive learning environment supported by all stakeholders [ 15 , 20 , 29 ]. Finally, capacity development should further enable students, teachers, and other experts to identify challenges and address them efficiently [ 23 , 25 , 26 ]. This framework is a cyclic model of effectively integrating ICT in a learning context.

4.2 Limitations and future research

A systematic literature review has several limitations, including that the scope of the review was limited to the use of information and communication technology in secondary schools for teaching and learning. Therefore, the study findings cannot be generalized or applied to any other level or setting of education, such as primary schools, higher education, or informal education. Studies that are included in a review determine its quality. Methodological aspects such as sample size, design, measurement, or analysis may affect the included studies' results. Thus, the strengths and weaknesses of the synthesis methods may affect the synthesis results.

ICT integration in secondary education should be explored in more diverse and dynamic ways to accommodate various topics and situations in secondary education. Every context and subject area may present different needs, challenges, and opportunities, which require tools that can be applied to them. Examine holistic and systemic approaches to integrating ICT into secondary school teaching and learning that address the resource, training, support, curriculum alignment, and pedagogical changes associated with ICT integration.

5 Conclusion

This study was conducted to comprehensively and rigorously review peer-reviewed studies on integrating information and communication technology in secondary schools. This study followed PRISMA guidelines and the Cochrane Handbook for Systematic Reviews [ 9 ] as the framework, assuring rigor and transparency. In this analysis, three research questions on ICT integration in secondary education were explored with regard to benefits, challenges, best practices, and barriers. As this systematic review highlights, several types and characteristics of ICT tools and methods can be utilized in teaching various secondary education topics. For adequate and appropriate ICT integration resources, infrastructure, and technical assistance, policymakers should develop and implement clear, coherent, and comprehensive policies and guidelines. To foster a supportive, collaborative, and innovative school climate, teachers must be able to participate in practical and meaningful professional development opportunities. For information and communication technology to be effectively utilized for teaching and learning, practitioners must adopt, adapt, or innovate pedagogical approaches, strategies, and methods that align and integrate ICT tools with curriculum objectives, content, or standards. They should explore, use, and propose diverse and dynamic ICT tools and methods for a wide range of topics to ensure that learners get the best out of the learning process.

Data availability

Not applicable. The data for this study originated from secondary desk research.

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1.1 Appendix 1: Summary of included studies highlighting ict integration and impacts in secondary schools

1.2 Appendix 2: Highlights on the impact of ICT in secondary schools

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Msafiri, M.M., Kangwa, D. & Cai, L. A systematic literature review of ICT integration in secondary education: what works, what does not, and what next?. Discov Educ 2 , 44 (2023). https://doi.org/10.1007/s44217-023-00070-x

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Introduction.

Global talent management and the talent hunt within research and educational institutions have become extensively discussed topics in international human resource management (HRM) (Al et al., 2022 ). Global talent management is intricately connected to the notion of finding, managing, and facilitating the fetch of research, skills, techniques, and knowledge among team members and progress in education and technology (Kwok, 2022 ; Sommer et al., 2017 ). This topic assumes a greater position when it is looked at through the lens of research, academicians, and educational institutions serving as a means of achieving scientific and technological advancement and performance (Kaliannan et al., 2023 ; Patnaik et al., 2022 ). Effective knowledge management and transfer occur between teams engaged in cross-border research collaborations (Davenport et al., 2002 ; Fasi, 2022 ). Effective team management, global talent recruitment, and the exchange of scientific knowledge across national boundaries face different challenges due to the swift growth of economic and political fanaticism. This is particularly evident in advanced economies that rely heavily on knowledge-based industries (Vaiman et al., 2018 ). Research and educational sectors are encountering significant challenges in effectively hunting and managing international talent, particularly in the aftermath of the COVID-19 pandemic, during which approximately half of the global workforce faced the possibility of job loss (Almeida et al., 2020 ; Radhamani et al., 2021 ). Due to the implementation of lockdown measures by governments, many research intuitions are facing significant issues, and the pandemic has changed the situation; work was stuck, and scientists around the globe are thinking to be prepared for this kind of situation, which is possible through the use scientific research collaboration platforms. These platforms serve as a means to exchange research and knowledge, which is crucial in the talent hunt and management (Haak-Saheem, 2020 ). In the situation above, wherein limitations exist regarding the exchange of research and knowledge within the institutions, it becomes imperative for the top management of institutions to incentivize employees to engage the team in knowledge sharing actively and achieve team-level scientific and technological advancement. It can be achieved by implementing a research collaboration system that facilitates knowledge exchange and contributes to effective talent hunt and management (Haider et al., 2022 ; Xu et al., 2024 ).

A research collaboration network is a tool for scientific and technological advancement and talent management encompassing various processes and practices to facilitate the sharing, integration, translation, and transformation of scientific knowledge (Biondi & Russo, 2022 ). During and after the COVID-19 era characterized by travel restrictions, research networking platforms serve as valuable tools for students and researchers located in variance regions to engage in the exchange of research knowledge and achieve team-level scientific and technological advancement (Yang et al., 2024 ). Enhancing intellectual capital (IC) within the organizations is imperative within this framework (Pellegrini et al., 2022 ; Vătămănescu et al., 2023 ). Intellectual capital (IC) is the intangible assets owned by an organization that has the potential to generate value (Stewart, 1991 ). An organization’s intellectual capital (IC) includes human and structural capital (Marinelli et al., 2022 ). According to Vătămănescu et al. ( 2023 ), the organization can effectively manage the skills and abilities of its team members across different countries by properly utilizing both human and structural capital and establishing a strong research collaboration system with the help of top management support. This capability remains intact even during and after the COVID-19 pandemic. This study emphasizes the importance of talent hunt and management within research and educational institutions in the post-COVID-19 pandemic because of every country’s following implementation of lockdown measures. Our study focuses on the implication of facilitating the exchange of research, knowledge, and techniques among team members during and after this period. The effective way to share research expertise and techniques in such a scenario is through a research collaboration network (O’Dwyer et al., 2023 ).

While previous research has extensively explored talent management in various industries (Al Ariss, Cascio, & Paauwe, 2014 ; Susanto, Sawitri, Ali, & Rony, 2023 ), a noticeable gap exists in the body of knowledge regarding the discussion of global talent acquisition and management within research and academic institutions, particularly within volatile environments and about scientific and technological advancements (Harsch & Festing, 2020 ). The objective of this research is to fill this research gap.1) To investigate the strategies of how research and educational institutions hunt and manage gobble talent. 2)To analyze the impact of human and structural capital and team scientific and technological performance using a research collaboration system. 3) To examine the moderating effect of top management support on the IC to use the research collation network among institution research teams and scientific and technological performance.

In addition, current research contributes significantly to the literature by elucidating the pivotal role of organizational intellectual capital in strengthening scientific and technological performance through research collaborative networks. This study advances our grip on how internal resources drive innovation and research outcomes by empirically demonstrating the positive association between human and structural capital and team-level scientific and technological performance. Furthermore, the current study highlights the moderating effect of top management support, suggesting that management commitment can amplify the benefits of intellectual capital (human and structural capital). These results show a subtle perspective on how organizations can influence their intellectual assets to foster higher levels of productivity and innovation. The study’s theoretical contributions lie in integrating resource-based views and organizational theory with performance metrics, while its practical implications provide actionable insights for institutions aiming to optimize their intellectual resources and management practices. This research also sets the stage for future inquiries into the dynamics of intellectual capital and management support in various collaborative contexts.

Research theories, literature review, and hypotheses development

Research theories.

The focus of the current study pertains to the challenges surrounding talent management within institutions during and after the COVID-19 pandemic(Fernandes et al., 2023 ). Global talent management is intently linked to the objective of enhancing the intellectual capital of the organization (Zada et al., 2023 ). Considering the COVID-19 pandemic, which raised much more attention toward scientific and technological advancement, the academic sector has noticed an observable shift towards utilizing research collaboration platforms to share scientific knowledge effectively and achieve scientific and technological performance. Intellectual capital encompasses five distinct resource categories, as identified by Roos and Roos ( 1997 ), comprising three immaterial and two touchable resources. Intangible resources such as human capital, structural capital, and customer capital are complemented by tangible resources, encompassing monetary and physical assets. Global talent management encompasses human and structural capital management (Felin & Hesterly, 2007 ). The enhancement of talent management capabilities within the institution can be achieved by cultivating institution-specific competencies in both human and structural capital (Al Ariss et al., 2014 ). This concept lines up with the theoretical background of the resource-based view (RBV) theory presented by Barney ( 1991 ). According to this theory, organizations should prioritize examining their core resources to recognize valuable assets, competencies, and capabilities that can contribute to attaining a sustainable competitive advantage (Barney, 1991 ).

During and after the COVID-19 scenario, virtual platforms are utilized by institutions to engage students and staff abroad in research and knowledge exchange, which is part of global talent management. Staff possessing adequate knowledge repositories will likely participate in knowledge exchange activities. Therefore, organizations must improve their internal resources to enhance talent management, as per the fundamental principle of the RBV theory (Barney, 1991 ). Enhancing internal resources entails strengthening an organization’s human capital, which refers to its staff’s scientific research and technical skills and knowledge and structural capital. Strengthening these two resources can facilitate the institution in effectively sharing knowledge through a research collaboration platform, consequently enhancing their global talent management endeavors and contributing to the team’s scientific and technological performance.

In this research, we also utilize institutional theory (Oliver, 1997 ) and Scott ( 2008 ) as a framework to examine the utilization of research collaboration social platforms by faculty of institutions. Our focus is on exchanging research and technical knowledge within the climate of global talent management during and after the COVID-19 epidemic. According to Scott ( 2008 ), “Institutional theory is a widely recognized theoretical framework emphasizing rational myths, isomorphism, and legitimacy (p. 78)”. For electronic data interchange, the theory has been utilized in technology adoption research (Damsgaard, Lyytinen ( 2001 )) and educational institutes (J. et al., 2007 ). In the pandemic situation, institutional theory provides researchers with a framework to analyze the motivations of employees within institutions to engage in teams to achieve team-level scientific and technological performance through a research collaboration system. According to institutional theory, organizations should utilize a research collaboration network to ensure that their staff do not need to compromise their established norms, values, and expectations. During the COVID-19 pandemic, numerous countries implemented limitations on international movement as a preventive measure. Consequently, there has been a growing identification of the potential importance of utilizing an institutional research collaboration platform for facilitating the online exchange of knowledge, skills, research techniques, and global talent management among employees of institutions operating across various countries. The active support of staff by the top management of an institution can play a key role in expediting the implementation of social networks for research collaboration within the institution (Zada et al., 2023 ).

Literature review

An institution’s scientific and technological advancement is contingent upon optimal resource utilization (Muñoz et al., 2022 ). Global talent hunt and management encompasses utilizing information and communication technologies (ICT) to provide a way for the exchange of research knowledge and techniques, thereby enabling the implementation of knowledge-based strategies (Muñoz et al., 2022 ). In a high research-level turbulent environment, it becomes imperative to effectively manage human capital (HUC) to facilitate the appropriate exchange of research knowledge and techniques (Salamzadeh, Tajpour, Hosseini, & Brahmi, 2023 ). Research shows that transferring research knowledge and techniques across national boundaries, exchanging best practices, and cultivating faculty skills are crucial factors in maintaining competitiveness (Farahian, Parhamnia, & Maleki, 2022 ; Shao & Ariss, 2020 ).

It is widely acknowledged in scholarly literature that there is a prevailing belief among individuals that talent possesses movability and that research knowledge and techniques can be readily transferred (Bakhsh et al., 2022 ; Council, 2012 ). However, it is essential to note that the matter is more complex than it may initially appear (Biondi & Russo, 2022 ). The proliferation of political and economic nationalism in developed knowledge-based economies poses a significant risk to exchanging research knowledge and techniques among faculty members in research and educational institutions worldwide (Arocena & Sutz, 2021 ). During and after COVID-19, knowledge transfer can be effectively facilitated by utilizing a research collaboration network platform (Duan & Li, 2023 ; Sulaiman et al., 2022 ). This circumstance is noticeable within the domain of international research and development, wherein academic professionals have the opportunity to utilize research collaboration platforms as a means of disseminating valuable research knowledge and techniques to their counterparts in various nations (Jain et al., 2022 ).

The scientific and technological advancement of institutions linked by intuition research and development level and research and development depend on the intuition’s quality of research, knowledge, and management (Anshari & Hamdan, 2022 ). However, there is a need to enhance the research team’s capacity to learn and transfer research knowledge and techniques effectively. Research suggests that institutional human capital (HUC) is critical in managing existing resources and hunting international talent, particularly after the COVID-19 pandemic (Sigala, Ren, Li, & Dioko, 2023 ). Human capital refers to the combined implicit and crystal clear knowledge of employees within an institution and their techniques and capabilities to effectively apply this knowledge to achieve scientific and technological advancements (Al-Tit et al., 2022 ). According to Baron and Armstrong ( 2007 ) Human capital refers to the abilities, knowledge, techniques, skills, and expertise of individuals, particularly research team members, that are relevant to the current task.

Furthermore, HUC encompasses the scope of individuals who can contribute to this reservoir of research knowledge, techniques, and expertise through individual learning. As the literature shows, the concept of IC encompasses the inclusion of structural capital (STC), which requires fortification through the implementation of a proper global talent acquisition and management system (Pak et al., 2023 ; Phan et al., 2020 ). STC encompasses various mechanisms to enhance an institution’s performance and productivity (Barpanda, 2021 ). STC is extensively acknowledged as an expedited framework for HUC, as discussed by Bontis ( 1998 ) and further explored by Gogan, Duran, and Draghici ( 2015 ). During and after the COVID-19 epidemic, a practical approach to global talent management involves leveraging research collaboration network platforms to facilitate knowledge exchange among research teams (Arslan et al., 2021 ). However, the crucial involvement of top management support is imperative to effectively manage talent by utilizing research collaboration network platforms for knowledge transfer (Zada et al., 2023 ). Nevertheless, the existing body of knowledge needs to adequately explore the topic of talent management about knowledge transfer on research collaboration platforms, particularly in the context of institution-active management support (Tan & Md. Noor, 2013 ).

Conceptual model and research hypothesis

By analyzing pertinent literature and theoretical frameworks, we have identified the factors influencing staff intention in research and academic institutions to utilize research collaboration networks after the COVID-19 pandemic and achieve scientific and technical performance. This study aims to explain the determinants. Additionally, this study has considered the potential influence of top management support as a moderator on the associations between education and research institution staff intention on IC to utilize research collaboration platforms in the post-COVID-19 era and predictors. Through this discourse, we shall generate several hypotheses to serve as the basis for constructing a conceptual model (see Fig. 1 ).

Relationships between study variables: human capital, structural capital, top management support, and team scientific and technological performance. Source: authors’ development.

Human capital and team scientific and technological performance

According to Dess and Picken ( 2000 ), HUC encompasses individuals’ capabilities, knowledge, skills, research techniques, and experience, including staff and supervisors, relevant to the specific task. Human capital also refers to the ability to pay to this reservoir of knowledge, techniques, and expertize through individual learning (Dess & Picken, 2000 ). HUC refers to the combinations of characteristics staff possess, including but not limited to research proficiency, technical aptitude, business acumen, process comprehension, and other similar competencies (Kallmuenzer et al., 2021 ). The HUC is considered an institutional repository of knowledge, as Bontis and Fitz‐enz ( 2002 ) indicated, with its employees serving as representatives. The concept of HUC refers to the combined abilities, research proficiency, and competencies that individuals possess to address and resolve operational challenges within an institutional setting (Barpanda, 2021 ; Yang & Xiangming, 2024 ). The human capital possessed by institutions includes crucial attributes that allow organizations to acquire significant internal resources that are valuable, difficult to replicate, scarce, and cannot be substituted. It aligns with the theoretical framework of the RBV theory, as suggested by Barney ( 1991 ). IC is extensively recognized as a main factor in revitalizing organizational strategy and promoting creativity and innovation. It is crucial to enable organizations to acquire and effectively disseminate knowledge among their employees, contribute to talent management endeavors, and achieve scientific and technological performance (Alrowwad et al., 2020 ; He et al., 2023 ). Human capital is linked to intrinsic aptitude, cognitive capabilities, creative problem-solving, exceptional talent, and the capacity for originality (Bontis & Fitz‐enz, 2002 ). In talent management, there is a focus on enhancing scientific and technological performance and development. According to Shao and Ariss ( 2020 ), HUC is expected to strengthen employee motivation to utilize research collaboration networks for scientific knowledge-sharing endeavors. Based on these arguments, we proposed that.

Hypothesis 1 Human capital (HUC) positively impacts team scientific and technological performance using a research collaboration system.

Structural capital and team scientific and technological Performance

According to Mehralian, Nazari, and Ghasemzadeh ( 2018 ) structural capital (STC) encompasses an organization’s formalized knowledge assets. It consists of the structures and mechanisms employed by the institution to enhance its talent management endeavors. The concept of STC is integrated within the framework of institutions’ programs, laboratory settings, and databases (Cavicchi & Vagnoni, 2017 ). The significance of an organization’s structural capital as an internal tangible asset that bolsters its human capital has been recognized by scholars such as Secundo, Massaro, Dumay, and Bagnoli ( 2018 ), and This concept also lines up with the RBV theory (J. Barney, 1991 ). The strategic assets of an organization encompass its capabilities, organizational culture, patents, and trademarks (Gogan et al., 2015 ).

Furthermore, Birasnav, Mittal, and Dalpati ( 2019 ) Suggested that these strategic assets promote high-level organizational performance, commonly called STC. Literature shows that STC encompasses an organization’s collective expertise and essential knowledge that remains intact even when employees depart (Alrowwad et al., 2020 ; Mehralian et al., 2018 ; Sarwar & Mustafa, 2023 ). The institution’s socialization, training, and development process facilitates the transfer of scientific research knowledge, skills, and expertise to its team (Arocena & Sutz, 2021 ; Marchiori et al., 2022 ). The STC is broadly recognized as having important potential and is a highly productive resource for generating great value. STC motivates its team member to share expertise with their counterparts at subordinate organizations by utilizing an institution’s research collaboration network and achieving team-level scientific and technological performance. This method remains effective even in challenging environments where traditional means of data collection, face-to-face meetings, and travel are not feasible (Secundo et al., 2016 ). In light of the above literature and theory, we propose the following hypothesis.

Hypothesis 2: Structural capital (STC) positively impacts team scientific and technological performance using a research collaboration system.

Top management support as a moderator

If the relationship between two constructs is not constant, the existence of a third construct can potentially affect this relationship by enhancing or diminishing its strength. In certain cases, the impact of a third construct can adjust the trajectory of the relationship between two variables. The variable in question is commonly called the “moderating variable.” According to Zada et al. ( 2023 ), top management support to leaders efficiently encourages team members within institutions to share research scientific knowledge with their counterparts in different countries through international research collaboration systems. Similarly, another study shows that the active endorsement of the top management significantly affects the development of direct associations, thereby influencing the team and organization’s overall performance (Biondi & Russo, 2022 ; Phuong et al., 2024 ). Different studies have confirmed that top management support is crucial in fostering a conducive knowledge-sharing environment by offering necessary resources (Ali et al., 2021 ; Lee et al., 2016 ; Zada et al., 2023 ). During and after the COVID-19 epidemic, numerous nations implemented nonessential travel restrictions and lockdown measures. In the given context, utilizing a research collaboration system would effectively facilitate the exchange of research, skills, and knowledge among staff belonging to various subsidiaries of an institution (Rådberg & Löfsten, 2024 ; Rasheed et al., 2024 ). However, it is common for researchers to exhibit resistance to adopting a novel research technique, often citing various justifications for their reluctance. To address the initial hesitance of employees at subsidiary institutes towards utilizing research collaborative networking within the institute, top management must employ strategies that foster motivation, encouragement, and incentives. These measures help create an atmosphere where team members feel empowered to engage with the new system freely. Institutional theory asserts that top management support is crucial for aligning talent management with institutional norms. Human and structural capital, pivotal within the institutional framework, contributes to an institution’s capacity to attract and retain talent, enhancing legitimacy. Adaptation to scientific and technological advancements is imperative for international institutional competitiveness, as institutional theory dictates (Oliver, 1997 ). Grounded on the above discussion, we have hypothesized.

Hypothesis 3a : Top management support moderates the relationship between human capital (HUC) and team scientific and technological performance. Specifically, this relationship will be stronger for those with higher top management support and weaker for those with lower top management support.

Hypothesis 3b : Top management support moderates the relationship between structural capital (STC) and team scientific and technological performance through the use of research collaboration network platforms. Specifically, this relationship will be stronger for those with higher top management support and weaker for those with lower top management support.

Methods data and sample

Sample and procedures.

To test the proposed model, we collected data from respondents in China’s research and academic sector in three phases to mitigate standard method variance (Podsakoff, MacKenzie, Lee, & Podsakoff, 2003 ). In the first phase (T1-phase), respondents rated human capital, structural capital, and demographic information. After one month, respondents rated the team’s scientific and technological performance in the second phase (T2-phase). Following another one-month interval, respondents were asked to rate top management support in the third phase (T3-phase). In the first phase, after contacting 450 respondents, we received 417 usable questionnaires (92.66%). In the second phase, we received 403 usable questionnaires. In the third phase, we received 363 usable questionnaires (90.07%), constituting our final sample for interpreting the results. The sample comprises 63.4% male and 36.6% female respondents. The age distribution of the final sample was as follows: 25–30 years old (6.6%), 31–35 years old (57%), 36–40 years old (19.8%), and above 40 years old (16.5%). Regarding respondents’ experience, 45.7% had 1–5 years, 39.4% had 6–10 years, 11.3% had 11–15 years, and 3.6% had over 16 years. According to the respondents’ levels of education, 4.1% had completed bachelor’s degrees, 11.6% had earned master’s degrees, 78.8% were doctorate (PhD) scholars, and 5.5% were postdoctoral and above.

Measurement

To measure the variables, the current study adopted a questionnaire from previous literature, and age, gender, education, and experience were used as control variables. A five-point Likert scale was used (1 = strongly disagree to 5 = strongly agree). Human capital (HUC) was measured through an eight-item scale adopted by Kim, Atwater, Patel, and Smither ( 2016 ). The sample item is “The extent to which human capital of research and development department is competitive regarding team performance”. The self-reported scale developed by Nezam, Ataffar, Isfahani, and Shahin ( 2013 ) was adopted to measure structural capital. The scale consists of seven items. The sample scale item is “My organization emphasizes IT investment.” In order to measure top management support, a six-item scale was developed by Singh, Gupta, Busso, and Kamboj ( 2021 ), was adopted, and sample item includes “Sufficient incentives were provided by top management (TM) for achieving scientific and technological performance.” Finlay, the self-reported scale developed by Gonzalez-Mulé, Courtright, DeGeest, Seong, and Hong ( 2016 ) was adopted to gauge team scientific and technological performance and scales items are four. The sample item is “This team achieves its goals.”

Assessment of measurement model

In the process of employing AMOS for analysis, the initial step encompasses an assessment of the model to determine the strength and validity of the study variables. The evaluation of variable reliability conventionally revolves around two key aspects, which are indicator scale reliability and internal reliability. More precisely, indicator reliability is deemed to be recognized when factor loadings exceed the threshold of 0.60. In parallel, internal consistency reliability is substantiated by the attainment of values exceeding 0.70 for both Cronbach’s alpha and composite reliability, aligning with well-established and recognized guidelines (Ringle et al., 2020 ).

To gauge the reliability of construct indicators, we utilized two key metrics which are composite reliability (CR) and average variance extracted (AVE). The CR values for all variables were notably high, exceeding 0.70 and falling within the range of 0.882 to 0.955. This signifies a robust level of reliability for the indicators within each construct. Furthermore, the AVE values, which indicate convergent validity, exceeded the minimum threshold of 0.50, with each construct value varying from 0.608 to 0.653, thus affirming the presence of adequate convergent validity.

In addition to assessing convergent validity, we also examined discriminant validity by scrutinizing the cross-loadings of indicators on the corresponding variables and the squared correlations between constructs and AVE values. Our findings indicated that all measures exhibited notably stronger loadings on their intended constructs, thereby underscoring the measurement model’s discriminant validity.

Discriminant validity was recognized by observing average variance extracted (AVE) values that exceeded the squared correlations between constructs, as indicated in Table 1 . In conjunction with the Composite Reliability (CR) and AVE values, an additional discriminant validity assessment was conducted through a Heterotrait-Monotrait Ratio (HTMT) analysis. This analysis entailed a comparison of inter-construct correlations against a predefined upper threshold of 0.85. The results demonstrated that all HTMT values remained significantly below this threshold, affirming satisfactory discriminant validity for each variable (Henseler et al., 2015 ). Every HTMT value recorded was situated beneath the specified threshold, thereby supplying supplementary confirmation regarding the constructs’ discriminant validity. In summary, the results of the outer model assessment indicate that the variables showcased commendable levels of reliability and validity, with the discriminant validity being suitably and convincingly established.

Moreover, correlation Table 2 shows that human capital is significantly and positively correlated with structural capital ( r  = 0.594**), TMS ( r  = 0.456 **), and STP ( r  = 0.517**). Structural capital is also significantly and positively correlated with TMS ( r  = 0.893**) and STP ( r  = 0.853**). Furthermore, TMS is significantly and positively correlated with STP (0.859**).

Confirmatory factor analysis (CFA)

A comprehensive confirmatory factor analysis was estimated by employing the software AMOS version 24 to validate the distinctiveness of the variables. CFA shows the fitness of the hypothesized four factors model, including human capital, structural capital, top management support, and team scientific and technological performance, as delineated in Table 3 ; the results show that the hypothesized four-factor model shows fit and excellent alternative models. Consequently, The study variables demonstrate validity and reliability, which makes the dimension model appropriate for conducting a structural path analysis, as advocated by Hair, Page, and Brunsveld ( 2019 ).

Hypotheses testing

This study used the bootstrapping approach, which involves 5,000 bootstrap samples to test the proposed study model and assess the significance and strength of the structural correlations. Using this approach, bias-corrected confidence intervals and p-values were generated in accordance with Streukens and Leroi-Werelds ( 2016 ) guidelines. First, we did an analysis that entailed checking the path coefficients and their connected significance. The findings, as shown in Table 4 , validate Hypothesis 1, revealing a positive correlation between HUC and STP ( β  = 0.476, p  < 0.001). Additionally, the finding validates Hypothesis 2, highlighting a positive association between structural capital and STP ( β  = 0.877, p  < 0.001). For the moderation analysis, we utilized confidence intervals that do not encompass zero, per the guidelines that Preacher and Hayes ( 2008 ) recommended.

In our analysis, we found support for Hypothesis 3a, which posited that top management support (TMS) moderates the relationship between human capital (HUC) and team scientific and technological performance (STP). The results in Table 4 showed that the moderating role, more precisely, the interaction between HUC and TMS, was substantial and positive ( β  = −0.131, p  = 0.001). These results suggest that TMS enhances the positive association between HUC and STP, as shown in Fig. 2 . Consequently, we draw the conclusion that our data substantiates hypothesis 3a. Furthermore, Hypothesis 3b posited that TMS moderates the relationship between STC and STP. The results indicate that TMS moderates the association between STC and STP ( β  = −0.141, p  = 0.001, as presented in Table 4 and Fig. 3 ).

The moderating effect of top management support (TMS) on the relationship between human capital (HUC) and team scientific and technological performance (STP). Source: authors’ development.

The moderating effect of top management support (TMS) on the relationship between structural capital (SUC) and team scientific and technological performance (STP). Source: authors’ development.

The current study highlights the importance of research and academic institutions effectively enhancing their scientific and technological capabilities to manage their global talent within an international research collaboration framework and meet future challenges. Additionally, it underscores the need for these institutions to facilitate scientific knowledge exchange among their employees and counterparts in different countries. The enhancement of talent management through the exchange of scientific research knowledge can be most effectively accomplished by utilizing a collaborative research system between educational and research institutions (Shofiyyah et al., 2023 ), particularly in the context of the COVID-19 landscape. This study has confirmed that enhancing the higher education and research institutions’ human capital (HUC) and structural capital (STC) could attract and maintain global talent management and lead to more effective scientific and technological progress. The findings indicate that the utilization of human capital (HUC) has a significant and positive effect on scientific and technological term performance (STP) (Hypothesis 1), which is consistent with previous research (Habert & Huc, 2010 ). This study has additionally demonstrated that the implementation of s tructural capital (STC) has a significant and positive effect on team scientific and technological performance (STP), as indicated by hypothesis 2, which is also supported by the previous studies finding in different ways (Sobaih et al., 2022 ). This study has also shown that top management support moderates the association between human capital (HUC) and team scientific and technological performance hypothesis 3a and the association between structural capital (STC) and team scientific and technological performance hypothesis 3b. These hypotheses have garnered support from previous studies’ findings in different domains (Chatterjee et al., 2022 ). The study’s empirical findings also confirm the substantial moderating influence exerted by top management support on the relationships between HUC and STP described in hypothesis 3a and STC and STP described in hypothesis 3b, as evidenced by the results presented in Table 4 . Additionally, graphical representations are conducted to investigate the impacts on hypotheses 3a and 3b resulting from the application of high-top management support (TMS) and weak TMS.

The effect of high-top management support (TMS) and weak TMS on Hypothesis 3a is depicted in Fig. 2 . The solid line illustrates the effects of robust TMS on Hypothesis 3a, while the dashed line shows the effects of weak TMS on Hypothesis 3a. The graphic description validates that, as human capital (HUC) increases, team scientific and technological performance (STP) is more pronounced when influenced by robust TMS than weak TMS. This is evidenced by the steeper slope of the solid line in comparison to the dashed line. This finding suggests that employees within the research and academic sectors are more likely to utilize research collaboration networks when influenced by HUC and receive strong support from the organization’s top management.

The graph in Fig. 3 shows the impact of solid top management support (TMS) and weak TMS on Hypothesis 3b. The dotted lines continuous on the graph correspond to the effects of robust TMS and weak TMS, respectively. Figure 3 illustrates that, with increasing top management support (TMS), scientific and technological performance (STP) increase is more significant for robust TMS than weak TMS. This is evident from the steeper slope of the continuous line compared to the slope of the dotted line. This finding suggests that employees within universities and institutes are more likely to engage in research collaboration systems when they receive strong support from top management despite enhanced structural support.

Theoretical contribution

The current study makes significant contributions to the existing body of knowledge by exploring the intricate dynamics between organizational intellectual capital and team performance within scientific and technological research, especially during the unprecedented times brought about by the COVID-19 pandemic. Through its detailed examination of human and structural capital, alongside the moderating impact of top management support, the study provides a multi-faceted understanding of how these factors interact to enhance team outcomes.

This research enriches the literature on intellectual capital by providing empirical evidence on the positive association between HUC and STC and team performance. HUC, which includes employees’ skills, knowledge, and expertise, is a critical driver of innovation and productivity (Lenihan et al., 2019 ). The study highlights how a team’s collective intelligence and capabilities can lead to superior scientific and technological outputs. This finding aligns with and extends previous research that underscores the importance of skilled HR in achieving organizational success (Luo et al., 2023 ; Salamzadeh et al., 2023 ). Structural capital, encompassing organizational processes, databases, and intellectual property, contributes significantly to team performance(Ling, 2013 ). The study illustrates how well-established structures and systems facilitate knowledge sharing, streamline research processes, and ultimately boost the efficiency and effectiveness of research teams. This aspect of the findings adds depth to the existing literature by demonstrating the tangible benefits of investing in robust organizational infrastructure to support research activities.

Another essential contribution of this study is integrating a research collaboration network as a facilitating factor. This network, including digital platforms and tools that enable seamless communication and collaboration among researchers, has become increasingly vital in remote work and global collaboration (Mitchell, 2023 ). By examining how these systems leverage HUC and STC to enhance team performance, the study provides a practical understanding of the mechanisms through which technology can facilitate team scientific and technological performance.

One of the most novel contributions of this study is its emphasis on the moderating role of top management support. The findings suggest that when top management actively supports research initiatives, provides required resources, and fosters innovation, the positive effects of human and structural capital on team performance are amplified (Zada et al., 2023 ). This aspect of the study addresses a gap in the literature by highlighting the critical influence of top management on the success of intellectual capital investments. It underscores the importance of managerial involvement and strategic vision in driving research excellence and team scientific and technological performance.

Practical implications

The practical implications of the current study are weightage for organizations aiming to enhance their research and innovation capabilities and boost their scientific and technical progress. Organizations should prioritize recruiting, training, and retaining highly skilled and trained researchers and professionals globally. This can be achieved through targeted hiring practices, offering competitive compensation and retention, providing continuous professional development opportunities, and developing proper research collaboration networks. Organizations can leverage their expertize to drive innovative research and technological advancements by nurturing a global, talented workforce. Investing in robust organizational structures, processes, and systems is critical (Joseph & Gaba, 2020 ). This includes developing comprehensive databases, implementing efficient research processes, securing intellectual property, and strengthening collaborations. These factors support efficient knowledge sharing and streamline research activities, leading to higher productivity and quality research outcomes (Azeem et al., 2021 ). Organizations should ensure that their infrastructure is adaptable and can support remote and collaborative work environments.

The current study emphasizes the importance of digital platforms and tools facilitating research collaboration. Organizations should adopt advanced research collaboration networks that enable seamless communication, data sharing, and talent management. These systems are particularly crucial in a globalized research environment where team members may be geographically dispersed. Investing in such technology can significantly enhance research projects’ productivity in a sustainable way (Susanto et al., 2023 ). Top Management plays a vital role in the success of research initiatives and contributes to scientific and technological performance. Top management should actively support research teams by providing required resources, setting clear strategic directions, and fostering a culture of innovation. This includes allocating budgets for organizational research and development, encouraging cross-border collaboration, recognizing and rewarding research achievements, and enhancing overall performance. Effective Management ensures that the intellectual capital within the organization is fully utilized and aligned with organizational developmental goals (Paoloni et al., 2020 ). Organizations should create a working atmosphere that encourages research, creativity, and innovation. This can be done by establishing innovation labs, promoting interdisciplinary research, recruiting international talents, sharing research scholars, and encouraging the sharing of ideas across different departments globally. A research-oriented culture that supports innovation can inspire researchers to pursue groundbreaking work and contribute to the organization’s competitive edge.

Limitations and future research direction

The research presents numerous theoretical and practical implications; however, it has. The potential limitation of common method bias could impact the findings of this study. This concern arises because the data for the study variables were obtained from a single source and relied on self-report measures (Podsakoff, 2003 ). Therefore, it is recommended that future studies be conducted longitudinally to gain additional insights into organizations’ potential to enhance efficiency. Furthermore, it is essential to note that the sample size for this study was limited to 363 respondents who were deemed usable. These respondents were drawn from only ten research and academic institutions explicitly targeting the education and research sector.

Consequently, this restricted sample size may hinder the generalizability of the findings. Future researchers may employ a larger sample size and implement a more systematic approach to the organization to enhance the comprehensiveness and generalizability of findings in the context of global talent management and scientific and technological advancement. Furthermore, in future investigations, researchers may explore alternative boundary conditions to ascertain whether additional factors could enhance the model’s efficacy.

Numerous academic studies have emphasized the significance of examining talent management outcomes in global human resource management (HRM). The continuous international movement of highly qualified individuals is viewed as a driving force behind the development of new technologies, the dissemination of scientific findings, and the collaboration between institutions worldwide. Every organization strives to build a qualified and well-trained team, and the personnel department of the organization focuses on finding ways to transfer knowledge from experienced workers to new hires. This study uses a research collaboration system to examine the relationship between organizational intellectual capital (Human and structural Capital) and team scientific and technological performance. Further, this study underscores the moderating role of top management support. These findings offer a nuanced perspective on how organizations can leverage their intellectual assets to foster higher productivity and innovation, especially in emergencies.

Data availability

Due to respondents’ privacy concerns, data will not be publicly available. However, it can be made available by contacting the corresponding author at a reasonable request.

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Conceptualization: Muhammad Zada and Imran Saeed. Methodology: Jawad Khan. Software: Shagufta Zada. Data collection: Muhammad Zada, Shagufta Zada and Jawad Khan. Formal analysis: Imran Saeed and Jawad Khan. Resources: Muhammad Zada. Writing original draft preparation: Muhammad Zada and Imran Saeed. Writing review and editing: Jawad Khan, Shagufta Zada. All authors have read and agreed to the published version of the paper.

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Zada, M., Saeed, I., Khan, J. et al. Navigating post-pandemic challenges through institutional research networks and talent management. Humanit Soc Sci Commun 11 , 1164 (2024). https://doi.org/10.1057/s41599-024-03697-9

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

Stella timotheou.

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

Ourania Miliou

Yiannis dimitriadis.

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

Sara Villagrá Sobrino

Nikoleta giannoutsou, romina cachia.

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

Alejandra Martínez Monés

Andri ioannou, associated data.

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

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.

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.

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 ​ Table1 1 .

Inclusion and exclusion criteria for the selection of resources on the impact of digital technologies on education

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.

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.

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.

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 ).

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 ​ Table2, 2 , we summarize the different impacts of digital technologies on school stakeholders based on the literature review, while in Table ​ Table3 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.

The impact of digital technologies on schools’ stakeholders based on the literature review

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 ​ Table3 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.

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 ).

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 ).

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.

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).

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 ).

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 ).

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 ).

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

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.

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.

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.

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.

Data availability statement

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A modern Systematic Review of the use of prelaboratory tasks in Science Education

• Yuqing Fang
• Stephen George-Williams The University of Sydney http://orcid.org/0000-0002-2578-1187
• Shane Wilkinson

In the field of science education, the laboratory is considered a crucial element that plays a unique role in improving learning outcomes (Hofstein & Lunetta, 2004). Even though laboratory learning has an obvious strength in its ability to train students’ practical abilities, research indicates that students commonly encounter cognitive overload during modern laboratory classes, leading to a decreased possibility of successfully reaching the desired learning results (Jones & Edwards, 2010). Prioritising preparation for laboratory lessons is crucial in order to facilitate meaningful learning and decrease students’ anxiety (Gungor et al., 2022; O’Brien & Cameron, 2008). Interestingly, several studies confirm that when a range of multimedia is included to prelab instruction, students understand the content more thoroughly than they would if it were taught only through textbooks and lectures (Aronne et al., 2019; Patterson, 2011).

This literature review focuses on the use of multimedia technology by scholars throughout the last ten years (2015–2024), considering updated trends and applying a thematic analysis protocol to the available literature. This goal was achieved by classifying and dividing the literature into several categories based on their research objectives, theories, content, assessment, and related analytical approaches. Following that, a comparison of the findings and some recommendations for more research on prelaboratory activities will be established.

Aronne, L., Nagle, C., Styers, J. L., Combs, A., & George, J. A. (2019). The effects of video-based pre-lab instruction on college students’ attitudes and achievement in the digital era. The Electronic Journal for Research in Science & Mathematics Education, 23(5).

Gungor, A., Avraamidou, L., Kool, D., Lee, M., Eisink, N., Albada, B., van der Kolk, K., Tromp, M., & Bitter, J. H. (2022). The Use of Virtual Reality in A Chemistry Lab and Its Impact on Students’ Self-Efficacy, Interest, Self-Concept and Laboratory Anxiety. EURASIA Journal of Mathematics, Science and Technology Education, 18(3), em2090.

Hofstein, A., & Lunetta, V. N. (2004). The laboratory in science education: Foundations for the twenty-first century. Science Education, 88(1), 28-54.

Jones, S. M., & Edwards, A. (2010). Online pre-laboratory exercises enhance student preparedness for first year biology practical classes. International Journal of Innovation in Science and Mathematics Education, 18(2).

O’Brien, G., & Cameron, M. (2008). Prelaboratory activities to enhance the laboratory learning experience. Proceedings of the Australian Conference on Science and Mathematics Education,

Patterson, D. A. (2011). Impact of a multimedia laboratory manual: Investigating the influence of student learning styles on laboratory preparation and performance over one semester. Education for Chemical Engineers, 6(1), e10-e30.

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• Stephen George-Williams, The University of Sydney Senior Lecturer (Chemistry, Education Focused)
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The Role of Technology in Education: Opportunities & Challenges

Article 10 Sep 2024 105 0

The Role of Technology in Education: Opportunities & Challenges

In today's fast-paced world, technology has significantly altered every facet of life, including education. The adoption of educational technology (EdTech) has paved the way for innovations that enhance teaching and learning experiences. Technology is no longer a peripheral tool in the classroom but an essential aspect of modern education. As educators, administrators, and learners navigate this new landscape, it becomes vital to understand both the opportunities and challenges that technology presents.

Opportunities Presented by Technology in Education

Technology's role in education is dynamic and transformative, offering numerous opportunities that benefit students, teachers, and institutions alike. Here’s a look at the key opportunities technology brings to modern education:

1. Enhanced Accessibility to Education

One of the most significant benefits of technology is its ability to make education accessible to everyone, regardless of location. E-learning platforms, mobile learning (m-learning), and virtual classrooms allow students from all corners of the globe to access high-quality education. This global reach ensures that even those in remote or underserved areas can participate in learning opportunities that were previously unavailable to them.

Digital tools like learning management systems (LMS) and educational apps make learning more flexible, catering to the individual needs of students. With just an internet connection and a digital device, learners can access courses and materials, making education more inclusive.

2. Personalized Learning

Modern education is increasingly moving towards personalized learning , where students can progress at their own pace. With the help of adaptive learning systems , educators can now tailor lessons to meet the unique needs and preferences of individual learners. This approach recognizes that not all students learn in the same way or at the same speed.

For example, blended learning models combine traditional teaching methods with online learning tools, enabling teachers to create a customized learning experience. Such models allow students to interact with content that resonates with their learning style, improving both engagement and retention.

3. Improved Collaboration and Interaction

Digital tools have revolutionized how students and educators collaborate. The integration of technology in classrooms enables collaborative learning through virtual environments where students can work on projects together, regardless of physical location. Platforms like Google Classroom or Microsoft Teams foster real-time collaboration, allowing students to communicate, share ideas, and solve problems collectively.

These tools also promote interaction between students and teachers. Interactive whiteboards and other digital platforms enable educators to create an engaging learning environment where students actively participate in lessons.

4. Encouraging Digital Literacy

In a world that is increasingly reliant on technology, digital literacy has become a crucial skill for students. By integrating technology into education, schools help prepare students for a tech-driven future. Students learn to navigate online platforms, use digital tools effectively, and understand the ethical use of technology, equipping them with skills essential for the modern workplace.

5. Remote Learning and Continuity

The COVID-19 pandemic underscored the importance of remote learning . During periods of global disruption, technology ensured educational continuity. Virtual learning environments (VLEs) allowed schools and universities to continue operating without physical presence, ensuring that students could pursue their education despite the challenges posed by lockdowns and social distancing measures.

Challenges of Technology in Education

While technology offers immense benefits, its integration into education is not without challenges. Addressing these challenges is crucial to ensuring that technology's potential in education is fully realized.

1. Unequal Access to Technology

One of the most pressing challenges is the digital divide , the gap between those who have access to technology and those who do not. In underprivileged or rural areas, limited access to reliable internet connections and digital devices can hinder students’ ability to engage with technology-based education.

This inequality poses a significant barrier to achieving true educational equity. To bridge this gap, governments and institutions must invest in infrastructure that provides all students, regardless of socioeconomic background, with the tools they need to succeed.

2. Over-reliance on Technology

While technology enhances education, over-dependence on it can have negative consequences. When schools rely too heavily on digital tools, there’s a risk of reducing face-to-face interaction, which remains a vital component of education. Teachers play an essential role in shaping students’ critical thinking and social skills, and excessive reliance on technology may diminish these important aspects.

Furthermore, students may become too reliant on technology for problem-solving, potentially stunting their ability to think creatively or critically without the aid of digital tools.

3. Teacher Training and Adaptation

Introducing new technology into the classroom requires significant teacher training. Unfortunately, many educators lack the skills or resources to effectively integrate technology into their teaching. Professional development programs are crucial to helping teachers learn how to use digital tools to enhance their curriculum and instruction.

Resistance to change can also pose a challenge. Some teachers may be hesitant to adopt new technologies due to a lack of familiarity or confidence. Institutions must invest in ongoing training to ensure that educators are equipped to use technology effectively.

4. Data Privacy and Security Concerns

With the increasing use of online education platforms and digital tools comes the need to address concerns about data privacy. Schools and educational institutions collect vast amounts of data from students, and safeguarding this information is essential to protect student privacy.

Ensuring the security of these platforms and adhering to regulations, such as the General Data Protection Regulation (GDPR), requires robust cybersecurity measures. Teachers, students, and administrators must all be educated about data privacy to ensure safe and responsible use of technology.

5. Cost and Maintenance of Technology

While technology can enhance education, it also comes with significant costs. Schools need to invest in up-to-date hardware, software, and infrastructure to provide students with the latest tools. The cost of maintaining these systems, along with regular updates and repairs, can strain school budgets.

Additionally, the need for ongoing technical support means schools must allocate resources for IT personnel to address issues as they arise. For some schools, particularly those in less affluent areas, these costs may be prohibitive, limiting the widespread adoption of technology in education.

The Future of Technology in Education

As technology continues to evolve, its role in education will only expand. The future promises even more exciting developments, including the integration of artificial intelligence (AI) into education. AI-powered tools can further personalize learning by analyzing students' progress and adjusting content in real-time. These tools can also assist teachers in grading, administrative tasks, and providing feedback, allowing educators to focus more on teaching.

Another key development is the rise of virtual and augmented reality (VR/AR) in education. These immersive technologies have the potential to revolutionize how subjects like history, science, and engineering are taught, providing students with hands-on learning experiences that were previously impossible.

Technology has become an integral part of modern education, offering unprecedented opportunities to enhance learning, improve accessibility, and prepare students for a technology-driven future. However, the challenges that come with integrating technology into education, such as the digital divide, over-reliance on technology, and data privacy concerns, must be addressed to ensure that these benefits are realized by all students.

By investing in infrastructure, teacher training, and data security, schools and policymakers can overcome these challenges and harness the full potential of educational technology. As we look to the future, technology will continue to shape the landscape of education, offering new ways to engage learners, personalize education, and foster collaboration.

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