Pedagogical agents are virtual characters that instructional designers include in learning environments to help students learn. Research in the area has flourished for thirty years, yet there are still critical questions about the efficacy of pedagogical agents for influencing learning and affect. As such, we conducted an umbrella review to…

RAN (Rapid Automatized Naming) is known to be a robust predictor of reading development in different languages. Much less is known about RAN predictive power in bilingual contexts. This is the first meta-analysis of research with bilingual children, assessing the strength of the RAN-reading relationship both within and across languages. It also…

This meta-analysis examined the effectiveness of artificial intelligence (AI) technologies in educational settings through a systematic review of 13 empirical studies conducted across eight countries. We analysed the impact of various AI technologies on educational outcomes using PRISMA guidelines and multiple analytical approaches, including…

With the application of virtual venues in the field of education, numerous educational empirical studies have examined the impact of deep learning in the learning environment of virtual venues, but the conclusions are not always in agreement. The present study adopted the meta-analysis method and RStudio software to test the overall effect of 45…

The rapid growth in digital technologies continues to accelerate, bringing not only new opportunities, but also new challenges and needs to the field of education. As educational technologists design research to improve the implementation of learning technologies, they must adapt their research approaches to social and cultural contexts. In…

This study uses one-step meta-analytic structural equation modelling to delve into the technology acceptance model's (TAM) application within education, assessing perceived usefulness, ease of use, intentions to use, and actual technology use. It synthesises previous findings to validate the TAM's effectiveness and uncover the model's predictive…

The aim of this study is to provide a comprehensive perspective by examining the studies on technology in early childhood in detail. In the study, bibliometric analysis of 391 articles published in SSCI-ESCI and SCI Expanded indexed journals between 1988-2023 from Web of Science database was conducted. This rigorous screening using the PRISMA flow…

Motion-sensing technology (MST) is an emerging educational technology with great potential. However, the effects of MST on language learning are still controversial. This is the first meta-analysis to examine the effectiveness of MST-assisted language learning. This research integrates 31 effect sizes from 21 independent studies (2013-2022). The…

This study investigates the challenges hindering the implementation of Digital Transformation (DT) in Higher Education Institutions (HEIs) by thoroughly reviewing the literature. It identifies multiple dimensions and subdimensions of these barriers to offer valuable insights to help HEIs navigate their transformation processes successfully. By…

With technological advancements, the Metaverse is being used to enhance learning effects and learning experience to ensure quality education. However, current empirical studies have produced varying results. Therefore, a meta-analysis was executed, leveraging the capabilities of Version 3 of the Comprehensive Meta-Analysis software to effectively…

As gamification is introduced into education, researchers believe it has the potential to improve online learning. However, the effects of gamified online learning (GOL) are mixed. Is it more effective than online learning? Given that no meta-analysis analyzes the effectiveness of GOL. This meta-analysis explores the effects of GOL on students'…

Inclusion is widely recognized as one of the founding principles for the quality of educational institutions and it is strictly related to the ICF perspective. Actually, the conceptualization of educational needs is associated to the enhancement of everyone's strengths and potential, and to the influence the (physical and social) environment may…

Engagement in self-regulated learning (SRL) may improve academic achievements and support development of lifelong learning skills. Despite its educational potential, many students find SRL challenging. Educational chatbots have a potential to scaffold or externally regulate SRL processes by interacting with students in an adaptive way. However, to…

Background: Recent research has demonstrated the potential of mobile-assisted learning to enhance learners' learning outcomes. In contrast, the learning processes in this regard are much less explored using eye tracking technology. Objective: This systematic review study aims to synthesise the relevant work to reflect the current state of eye…

The purpose of this study is to analyse trends in articles on the use of instructional technologies in the education of individuals with special needs, specifically those with mental disabilities and autism. The research was conducted in accordance with the PRISMA statement, and the studies were analysed through content analysis. Between 2015 and…