The study uses the partial least squares-structural equation modeling (PLS-SEM) algorithm to predict the factors affecting the programming performance (PPE) (low, high) of the students receiving computer programming education. The participants of the study consist of 763 students who received programming education. In the analysis of the data, the…

Background/purpose: This study aimed to develop and validate a causal model of factors influencing the mathematical reasoning ability of Grade 6 students in Thailand. Materials/methods: The sample consisted of 530 students selected through multi-stage random sampling. Research instruments included a basic mathematics knowledge test, a mathematical…

This study aimed to design an integrative instructional model to enhance Islamic legal literacy, ma?la?ah reasoning, and the character of religious moderation character through digital technology. Employing a Research and Development (R&D) approach tailored for Islamic higher education, the research involved needs analysis, model development,…

With the global rise of digital education, fragmented academic reading has attracted increasing attention, as an emerging learning mode among university students in various countries. This study explores the factors influencing university students' acceptance and use of fragmented academic reading through a comprehensive framework that integrates…

Information frictions--where a worker and her current employer know more about the worker's productivity than prospective employers--have complex equity-efficiency implications in the teacher labor market. Reducing information frictions may make it easier for effective teachers to move to their preferred schools and increase cross-school…

This study looks at the relevance of Holland's Hexagonal Model of vocational interests within a collectivistic cultural context by examining the alignment between RIASEC personality types and occupational daydreams among Indonesian high school students. Informed by a mixed-methods approach, 649 students completed the Self-Directed Search (SDS),…

This study examined the relationship between trust in AI-powered educational technology (AI-EdTech) and school burnout among Turkish high school students and the mediating role of perceived usefulness and academic stress in this relationship. A total of 619 students (M[subscript age] = 15.95, SD = 0.94) participated in the study, and structural…

Regulations and policy in early care and education (ECE) is based largely on the idea that structural elements of ECE, such as child-adult ratio, predict teacher-child interactions that then predict child developmental outcomes. This structure-process-outcome model was initially proposed when many states had minimal ECE quality standards. Our…

This research aimed to develop and evaluate a creative leadership program for secondary school teachers under Provincial Administrative Organizations in Northeastern Thailand. Employing a comprehensive research and development methodology, the study proceeded through three sequential phases. In Phase 1, we analyzed the components of creative…

Education Transformation in the Industrial Revolution 4.0 era demands early-childhood teachers to possess pedagogical competencies that are not only theoretical but also innovative, creative, and contextual. These competencies are essential for supporting the holistic development of young children, encompassing cognitive, social, emotional, and…

The field of vocabulary instruction has witnessed the emergence of three models that operationalize the construct of elaborate processing and thus help predict the effectiveness of vocabulary learning activities: Involvement Load Hypothesis (ILH), Involvement Load Hypothesis Plus (ILH Plus), and Technique Feature Analysis (TFA). However, no…

Assessing achievement is a complex task due to its dependence on multiple factors and the hierarchical structure of educational data, yet surveys like TIMSS offer valuable insights into its determining factors like students' mathematics anxiety. However, disregarding the nested structure of data and ignoring the assumptions of models causes poor…

The rapid emergence of generative artificial intelligence (GenAI) in academic settings has led to growing concerns about its impact on writing and assessment practices. This paper reviews the latest literature on detecting GenAI-generated content and explores the challenges and potential solutions faced by educators. This study identifies various…

Mentoring can have an equalizing impact on educational outcomes by critically taking on the deeper issues around oppression and marginalization while bringing to light the cultural and institutional roots of intrapsychic (e.g. implicit bias) and interpersonal racism (e.g. microaggressions). Educators of teacher candidates have two openings for…

Assessment of student learning at the United States Military Academy (USMA) is a relatively new process. The USMA faces an additional challenge, as many of its instructors and professors are active-duty military officers who rotate through two- to three-year teaching assignments before transitioning back to the Army. To address this challenge, the…