This study explores the correlation between technology utilization and language acquisition while analyzing the impact of moderating variables on this relation. Our meta-analysis approach analyzes data from 43 extracts out of 19 primary studies published between 2012 and 2021. Our data analysis employs a random-effect model utilizing a…

Artificial intelligence (AI) has extensively developed, impacting different sectors of society, including higher education, and has attracted the attention of various educational stakeholders, leading to a growing number of research on its integration into education. Hence, this systematic literature review examines the impact of integrating AI…

This systematic review evaluates the application of the Unified Theory of Acceptance and Use of Technology (UTAUT) model in higher education, analyzing 162 SSCI/SCI-E articles from 2008 to 2022. It reveals a predominant focus on student participants from Asia and North America. Mobile learning tools are the most studied technologies. Surveys…

Many existing reviews of educational technologies focus on the affordances of specific types of technology rather than how different technologies can be designed and used to achieve specific teaching and learning objectives. Furthermore, there appears to be a widely held assumption that the use of educational technology will result in improved…

Background/purpose: The emergence of educational technologies has profoundly transformed teaching and learning methods in health sciences. This bibliometric study aims to identify the most widely used educational practices in this field between 2014 and 2024, exploring their applications within a constantly evolving technological context.…

The rapid growth of technology worldwide has affected all spheres of life and business. Mobile learning technology has become affordable and easily accessible. Despite the numerous benefits of mobile learning technology in education, the problem of its implementation in teaching and learning still exists. Evidence suggests that teachers and…

Digital game-based learning (DGBL) has emerged as a significant research topic in recent times, particularly in the context of K-12 education. While numerous systematic literature reviews have focused on students as participants, there is a notable gap in reviews that concentrate on the educators who adopt DGBL in their classrooms. This study aims…

This paper used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method for data collection and analysis to explore the impact of Artificial Intelligence (AI) on communication and media studies in Arab countries in terms of its contribution to enhancing the learning capabilities of media students and developing their…

The integration of Artificial Intelligence (AI) into peer learning has gained significant attention with demonstrated benefits in offering personalised support and enhancing learning outcomes. However, an overview of student characteristics, learning environment conditions, learning processes, learning outcomes, and their interplay constituting…

Purpose: This paper aims to consolidate empirical studies between 2013 and 2022 to investigate the impact of artificial intelligence (AI) in higher education. It aims to examine published research characteristics and provide insights into the promises and challenges of AI integration in academia. Design/methodology/approach: A systematic…

Generative artificial intelligence (GAI) has brought new ideas for optimizing students' learning. Despite increasing attention on the effects of GAI on learning outcomes (LO), research results are inconsistent. While GAI's educational benefits are qualitatively described, there is substantial debate about its actual impact on students' LO. The…

Since 2000, technology-enhanced L2 listening development (TELD) has been increasingly investigated. However, systematic reviews concerning the technologies, learning tasks, and outcomes of TELD remain limited. To fill this gap, we conducted a systematic review of publications from 2000 to 2022 on TELD from the perspectives of technologies,…

Self-directed learning is a critical competence for living and working in our increasingly complex and unpredictable world. The concept of self-directed learning grew out of the adult learning field and scholars highlight the need to examine how self-directed learning competence can be fostered during childhood. However, there are very few…

Background: It has been assumed that prompting students to plan, monitor and evaluate their learning process could stimulate strategy use and thereby improve learning outcomes. Objectives: This study aimed to examine the effects of metacognitive prompts on students' self-regulated learning (SRL) and learning outcomes in the context of…

Sentiment Analysis (SA), a technique based on applying artificial intelligence to analyze textual data in natural language, can help to characterize interactions between students and teachers and improve learning through timely, personalized feedback, but its use in education is still scarce. This systematic literature review explores how SA has…