A recent American Enterprise Institute report examines long-term patterns in student performance using data from national and international assessments. It identifies four major trends: (1) student performance peaked in the early 2010s before declining, (2) lower-performing students have seen the sharpest declines, (3) achievement gaps in the U.S.…

Mediation analysis in Single Case Experimental Designs (SCEDs) evaluates intervention mechanisms for individuals. Despite recent methodological developments, no clear guidelines exist for maximizing power to detect the indirect effect in SCEDs. This study compares frequentist and Bayesian methods, determining (1) minimum required sample size to…

When designing cluster-randomized trials (CRTs), one important consideration is determining the proper sample sizes across levels and treatment conditions to cost-efficiently achieve adequate statistical power. This consideration is usually addressed in an optimal design framework by leveraging the cost structures of sampling and optimizing the…

This study critically examines the biases and methodological shortcomings in studies comparing deaf and hearing populations, demonstrating their implications for both the reliability and ethics of research in deaf education. Upon reviewing the 20 most-cited deaf-hearing comparison studies, we identified recurring fallacies such as the presumption…

Research into the use of virtual reality (VR) for educational purposes is increasing, but most of the existing literature focuses on the positive effects of VR on users, with its possible negative effects remaining underexplored. An inadequate understanding of the negative effects can put users at risk. To address this research gap, the main…

Background: Cognitive load theory is widely used in educational research and instructional design, which relies heavily on conceptual constructs and measurement instruments of cognitive load. Due to its implicit nature, cognitive load is usually measured by other related instruments, such as commonly-used self-report scales of mental effort or…

Predicting student performance has been a critical focus of educational research. With an effective predictive model, schools can identify potentially at-risk students and implement timely interventions to support student success. Recent developments in educational data mining (EDM) have introduced several machine learning techniques that can…

Children with intellectual and developmental disabilities and extensive support needs (ESN) face a high risk of experiencing traumatic events, which may lead to a myriad of negative mental and physical health and educational outcomes. Identifying symptoms and treating trauma, however, are challenging due to communication difficulties, vague or…

This article provides a knowledge base on how teacher isolation was investigated, conceptualised and reported in the literature. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, we extracted 23 relevant articles. Our analysis shows that 53 discrete elements, clustered into six dimensions, contribute to teacher…

This study aims to provide an overview of the distribution of the Spanish scientific workforce focusing on differences in authorship position by gender, academic age, number of authors, and research field. The results show some degree of parity in younger age cohorts and areas such as biomedicine, but little participation of females in the oldest…

A growth mindset is the belief that one's intellect and abilities may develop through effort. This mindset suggests that intelligence is not fixed but adaptable. With the continuous growth in literature on the growth mindset in mathematics, there is a need to investigate the current trends from a bibliometric perspective. To meet this need, the…

This article examines the concept and role of cosmopolitanism in studies that theorize cosmopolitan nationalism (CN) in educational policy. First, it articulates a spectrum of diverse views that can be held under the labels of cosmopolitan, nationalism, and patriotism. Next, it assesses how cosmopolitanism is invoked in educational policy studies…

Artificial intelligence (AI) encompasses the science and engineering behind creating intelligent machines capable of tasks that typically rely on human intelligence, such as learning, reasoning, decision-making, and problem-solving. By analyzing vast amounts of data, identifying patterns, and making predictions that were once impossible, AI has…

In this essay, we explored the feasibility of utilizing artificial intelligence (AI) for qualitative data analysis in equity-focused research. Specifically, we compare thematic analyses of interview transcripts conducted by human coders with those performed by GPT-3 using a zero-shot chain-of-thought prompting strategy. Our results suggest that…

The intersection of Artificial Intelligence (AI) and educational leadership has garnered significant attention in recent years due to advancements in knowledge technology and digital literacy. Despite growing interest from scholars and policymakers over the past decade, a comprehensive review of AI in the context of educational leadership and…