Based on the UTAUT model, many studies have analyzed the factors influencing the use of artificial intelligence by teachers and students, but the conclusions are not uniform. This study chose high quality studies and encoded them to do meta analysis. After heterogeneity testing, sensitivity analysis and publication bias test, it has been found…

Flow is an optimal experience that has received particular attention in learning due to its potential association with enhanced learning achievement. However, the strength and direction of the putative flow-fulfillment relationship remain unclear. Therefore, a PRISMA-directed systematic review was conducted in 2022 to examine the empirical…

Over the last four decades, studies have investigated the incorporation of Artificial Intelligence (AI) into education. A recent prominent AI-powered technology that has impacted the education sector is ChatGPT. This article provides a systematic review of 14 empirical studies incorporating ChatGPT into various educational settings, published in…

The purpose of the present study was to analyze the impact of technology on student foreign language learning, as it has been widely used to enhance language instruction over the past few decades. This multivariate meta--meta-analysis study aimed to examine the effects of technology on various aspects of language learning, including listening,…

None of the existing reviews or meta-analyses have focused on personalized learning that accommodates learners' interests. To address this issue, we conducted this meta-analysis to examine the effects of personalized learning by interest on self-reports of interest and cognitive load, retention, and transfer, as well as potential moderators of…

Scientific argumentation as a scientific practice has become an important issue in scientific concept learning. We systematically searched five databases to assess the potential of scientific argumentation to promote multidimensional conceptual change in science education. The systematic literature search and coding of studies were carried out by…

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…

Purpose: In response to challenges in traditional professional development, educators are increasingly utilizing social media platforms to customize their learning experiences and facilitate their professional growth. This systematic literature review seeks to examine articles published between January 2018 and July 2023 to synthesize evidence on…

The use of mobile technology in physics education has become more prevalent, but more data about its effect on student academic performance needs to be collected. This meta-analysis examines the effects of mobile learning on student achievement in physics and any moderating factors. The study collected 36 primary studies from various scientific…

The aim of this study is to examine the different aspects of national articles and postgraduate theses on the quantum learning model conducted in Turkiye between 2010-2021. This study is a study conducted with content analysis and includes research on the quantum learning model, which can be accessed from the TR index and YOK Thesis Center…

Research has revealed the extent and mechanism of the relation between language (dominated by alphabetic systems) and students' mathematics learning, but when it comes to Chinese language (an orthographic system), nature remains elusive. In this meta-analysis we aim to quantify the size of the relation between Chinese language and mathematics and…

Teacher absenteeism has high individual and societal costs and triggers a vicious cycle by increasing teacher absenteeism for the remaining teachers. Moreover, teachers' non-attendance disrupts the learning process and affects student motivation and achievement. Teacher absenteeism further exacerbates the increasing teacher shortage observed in…

Artificial intelligence (AI) has considerably advanced the methods for individualizing language learning opportunities, such as assessing learning progress and recommending effective individual instruction. In the present study, we conducted a meta-analysis to synthesize recent empirical findings pertaining to the utilization of AI-guided language…

A compelling demonstration of implicit learning is the human ability to unconsciously detect and internalize statistical patterns of complex environmental input. This ability, called statistical learning, has been investigated in people with dyslexia using various tasks in different orthographies. However, conclusions regarding impaired or intact…

Gamification is an educational strategy that makes learning fun and keeps students interested in learning, which helps them learn more and grow their knowledge. However, given its growing popularity, it is necessary to review empirical studies regarding gamification in education as an intervention for an effective teaching and learning process.…