Many scholars have been using geospatial technologies (GST) to improve students' learning outcomes in the Web 2.0 age. However, many studies focus on the effectiveness of GST on cognitive domain of learning outcomes, which poses challenges to GST efficacy evaluation. This study aims to examine the effectiveness of GST on students' learning…

Rubrics are widely used as instructional and learning instrument. Though they have been claimed to have positive effects on students' learning, these effects have not been meta-analyzed. Our aim was to synthesize the effects of rubrics on academic performance, self-regulated learning, and self-efficacy. The moderator effect of the following…

Purpose: This scoping review discusses how bug-in-ear (BIE) technology has been used to coach teachers and pre-service teachers in special education, general education and initial teacher education (ITE). The purpose of the review is to identify the range of practices in implementing BIE technology and the potential impacts on teachers, learners,…

Purpose: Dysphonia can be evaluated by both patient-reported quality of life instruments and objective acoustic and aerodynamic analyses. However, less is known about the association between the two metrics. The goal of this study was to perform a meta-analysis of the correlation of the Voice Handicap Index (VHI-30) with the following objective…

Publication bias threatens meta-analysis validity. It is often assessed via the funnel plot; an asymmetric plot implies small-study effects, and publication bias is one cause of the asymmetry. Egger's regression test is a widely used tool to quantitatively assess such asymmetry. It examines the association between the observed effect sizes and…

Meta-analyses of diagnostic test accuracy (DTA) studies have been gaining prominence in research in clinical epidemiology and health technology development. In these DTA meta-analyses, some studies may have markedly different characteristics from the others and potentially be inappropriate to include. The inclusion of these "outlying"…

To conduct a multilevel meta-analysis of multiple single-case experimental design (SCED) studies, the individual participant data (IPD) can be analyzed in one or two stages. In the one-stage approach, a multilevel model is estimated based on the raw data. In the two-stage approach, an effect size is calculated for each participant and these effect…

In Early Childhood Education and Care (ECEC) programs, the quality of teacher-child interactions is regarded to be important for children's vocabulary development. However, prior studies on the relationships between teacher and child, as measured by the Classroom Assessment Scoring System (CLASS), and children's vocabulary skills are inconsistent.…

Background: It is well-established that children and adolescents with developmental language disorder (DLD) have social-emotional difficulties. This is reflected in their behaviour, for instance, by (social) withdrawal, hyperactivity or difficulty with peer relations. Children with DLD are also known to have poorer quality of life (QoL). This is…

This PRISMA-guided systematic review explores the development of intercultural communication competence (ICC) in English majors in Jingdezhen, China, for sectors such as tourism, cultural marketing, and ceramic translation. The study adopts the methodology of a systematic literature review, analyzing 22 papers between 2014 and 2024. The review…

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…

This study conducted a meta-analytic case study of NAEP Trial Urban Data Assessment (TUDA) data, exploring science achievement trends among Black girls in urban versus larger city school districts (N = 26,298). Results revealed statistically significant but practically small differences in achievement (g = -0.07), underscoring structural…

This meta-analysis study evaluates the effectiveness of research and development (R&D) of Android-based educational games in enhancing students' mathematical reasoning and its moderating factors. From 13 primary studies that met the inclusion criteria, analysis using R Studio (Meta Package) and the Random Effects Model (REM) showed an overall…

Increasingly used in a variety of disciplines, evidence synthesis methods such as systematic reviews and meta-analysis can help researchers and practitioners identify trends and effective interventions and uncover theoretical gaps to address specific topics and issues (e.g., the effect of the gamification approach on learning outcomes). Based on a…

The aim of this study is to understand what challenges encountered by English teachers and how they cope with the barriers, particularly in low-resource, non-technological settings. Using the PRISMA framework, this study conducted a systematic literature review to synthesize the twenty articles published between 2018 and 2024 from Scopus,…