In the context of global educational reform, science, technology, engineering, and math (STEM) education, as an interdisciplinary educational model, has become increasingly central to foundational pedagogical reforms. However, research on the impact and development of STEM teachers' interdisciplinary teaching abilities is relatively limited. This…

Background: Although gender inequality in education is gaining increasing attention, female underrepresentation remains pervasive in STEM fields. Many studies have applied various interventions to narrow the gender gap in STEM education. Objectives: In this study, we conducted a systematic meta-analysis to examine the effectiveness of various…

Knowledge is an important predictor and outcome of learning and development. Its measurement is challenged by the fact that knowledge can be integrated and homogeneous, or fragmented and heterogeneous, which can change through learning. These characteristics of knowledge are at odds with current standards for test development, demanding a high…

The rapid rise of AI use is creating some very serious legal and ethical issues such as bias, discrimination, inequity, privacy violations, and--as creators everywhere fear--theft of protected intellectual property. Because AI platforms "learn" by scraping training materials available online or what is provided to them through their…

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…

Ethnomathematics research has developed globally, with significant contributions from various countries, especially from Indonesia. Indonesia has diversity and cultural richness that offers opportunities to strengthen its education system, especially in improving mathematical literacy by connecting learning materials with daily activities and…

Purpose: This research investigates the impact of artificial intelligence (AI) on accounting jobs and universities implementing AI-focused accounting programs and courses to meet market requirements. By drawing insights from universities implementing AI-focused programs, this research offers a roadmap for educational institutions seeking to…

Given the current surge in student participation in dual enrollment programs, an updated synthesis of literature relating to how these programs impact students is warranted. Furthermore, while there are qualitative literature reviews relating to dual enrollment and student outcomes, there has not been a quantitative synthesis of literature…

Aggregated data meta-analyses indicate a correlation between instructional leadership and student achievement. However, it is unclear to what extent this relationship can be generalized across cultural contexts, as most primary studies stem from Anglophone regions. Drawing on international large-scale assessment data, this 3-level individual…

This study examines how self-esteem and social support (parental, teacher, and peer) influence the career maturity of Korean adolescents over time. By synthesizing findings from 18 longitudinal studies, a meta-analysis was conducted. Results reveal that while self-esteem initially shows a strong correlation with career maturity, this relationship…

Generative artificial intelligence (GenAI) has the potential to change student learning. Despite the popularity of integrating this novel technology into teaching and learning practices, few meta-analyses have synthesised its effect in the education context with K-12 and college students. This review examined the effects of GenAI interventions on…

Background: With the rapid advancement of technology, the integration of Generative Artificial Intelligence (GAI) in education has gained considerable attention. Many studies have examined GAI's impact on learning outcomes, yet their conclusions are inconsistent, highlighting the need for a comprehensive review to clarify its overall effects and…

Previous research found bias in the estimate of the overall fixed effects and variance components using multilevel meta-analyses of standardized single-case data. Therefore, we evaluate two adjustments in an attempt to reduce the bias and improve the statistical properties of the parameter estimates. The results confirm the existence of bias when…

Since its inception in 1949, over 1,500 studies have investigated the validity of the GRE General Test to predict its performance criteria in higher education (Klieger, Bridgeman, Tannenbaum, & Cline, 2016). The present review paper sought to examine the predictive validity of the GRE General Test. Factors affecting the predictive validity…

The conventional Q statistic, using estimated inverse-variance (IV) weights, underlies a variety of problems in random-effects meta-analysis. In previous work on standardized mean difference and log-odds-ratio, we found superior performance with an estimator of the overall effect whose weights use only group-level sample sizes. The Q statistic…