Meta-regression analyses usually focus on estimating and testing differences in average effect sizes between individual levels of each meta-regression covariate in turn. These metrics are useful but have limitations: they consider each covariate individually, rather than in combination, and they characterize only the mean of a potentially…

Tolerance intervals provide a bracket intended to contain a percentage (e.g., 80%) of a population distribution given sample estimates of the mean and variance. In random-effects meta-analysis, tolerance intervals should contain researcher-specified proportions of underlying population effect sizes. Using Monte Carlo simulation, we investigated…

Spaced retrieval practice consists of repetitions of the same retrieval event distributed through time. This learning strategy combines two "desirable difficulties": retrieval practice and spacing effects. We carried out meta-analyses on 29 studies investigating the benefit of spacing out retrieval practice episodes on final retention.…

The purpose of this meta-analysis was to examine if individuals with dyslexia (DYS) have a deficit in orthographic knowledge. We reviewed a total of 68 studies published between January 1990 and December 2019, representing a total of 7215 participants. There were 80 independent samples in the chronological-age (CA)-DYS comparison and 33…

A metacognitive learner acts in a planful way, monitors their progress, flexibly adapts their strategies, and reflects on their learning. Unsurprisingly, a metacognitive approach to learning is an important predictor of children's academic performance and many attempts have been made to promote metacognition in young children. The current…

Misinformation around scientific issues is rampant on social media platforms, raising concerns among educators and science communicators. A variety of approaches have been explored to confront this growing threat to science literacy. For example, refutations have been used both proactively as warning labels and in attempts to inoculate against…

Sleep disturbances are one of the most common comorbidities in autistic children and adolescence. Considering the impact of sleep disorders on development and daily functioning, it is important to know which treatments are considered effective in literature. This systematic review and meta-analysis study specifically aimed to investigate the…

Teacher professional development (PD) is essential to continuously improve teaching skills, to adapt to diverse student needs, and to promote equity and inclusion. Only a few studies to date have synthesized how PD programs improve teachers' content knowledge and instructional quality, as well as students' academic performance. In this…

This systematic review uses a bioecological systems model to study occupational stressors and their effects on teachers' performance in schools. We discuss risk factors and coping styles influencing occupational stress at the levels of the biosystem (teacher characteristics), microsystem (class relations), mesosystem (school context), exosystem…

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…

The present study uses meta-analysis to synthesise findings involving 480 effect sizes from 97 studies (dated 2000-2020) to provide insights on associations between school socioeconomic status (SES) and (a) student learning outcomes; (b) schools' percentage of ethnic minority students and students' prior ability; and (c) school processes in K-12…

International teaching assistants (ITAs) have a prominent role in the internationalisation of higher education (IHE). Although ITAs are considered important actors in IHE and ITA programs have a relatively long history, there is a scarcity of review studies on empirical research focusing on ITAs. This qualitative metasynthesis explores the…

Amidst the COVID-19 pandemic, the e-learning demand among in tertiary education sector has surged, which has produced prolific research on factors influencing students' and faculties e-learning adoption. Anchored in the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework, this study employed a meta-analytic approach to…

Background: ChatGPT, a generative artificial intelligence (GenAI) chatbot, has gained significant traction as a tool for supporting students learning. Despite its growing popularity, there is still no academic consensus on its effectiveness in enhancing students' academic achievement. Objectives: This study aims to explore the effect of ChatGPT on…

This meta-analysis summarizes the available evidence on the effectiveness of student feedback interventions in primary and secondary schools on different aspects of teaching quality. It aims to examine indications of success conditions for an effective use of student feedback in practice. The analysis included 23 studies with 314 effect sizes. We…