Algorithmic bias is a pressing concern in educational data mining (EDM), as it risks amplifying inequities in learning outcomes. The Area Between ROC Curves (ABROCA) metric is frequently used to measure discrepancies in model performance across demographic groups to quantify overall model fairness. However, its skewed distribution--especially when…

The term "rigor" in education often evokes resistance due to its inconsistent definitions and widespread misconceptions. This study introduces and validates the RIGOR Walk framework, a research- and practitioner-informed tool designed to define, observe, and enhance rigorous learning environments across classrooms. The framework is…

Online and distance learning technology with the learning management system (LMS) is an example of the application of online learning models at universities, which is the impact of technological developments. However, advances in LMS technology still need to be implemented in universities, the problem of university readiness being the main factor.…

Value added models (VAMs) attempt to estimate the causal effects of teachers and schools on student test scores. We apply Generalizability Theory to show how estimated VA effects depend upon the selection of test items. Standard VAMs estimate causal effects on the items that are included on the test. Generalizability demands consideration of how…

Introduction: Running speech sampling is an essential component of a paediatric voice evaluation, in that it should provide the examiner with a representative vocal sample of the child's everyday voice use outside of the clinic setting. Current speech sampling practices, consisting of reading tasks, informal conversation sampling and the voice…

Scientific modeling is a vital educational practice that helps students apply scientific knowledge to real-world phenomena. Despite advances in AI, challenges in accurately assessing such models persist, primarily due to the complexity of cognitive constructs and data imbalances in educational settings. This study addresses these challenges by…

A strong predictor of children's language is performance on non-word repetition (NWR) tasks. However, the basis of this relationship remains unknown. Some suggest that NWR tasks measure phonological working memory, which then affects language growth. Others argue that children's knowledge of language/language experience affects NWR performance. A…

This study aimed to identify, develop, and validate components and indicators of academic management models in the digital era for improving academic achievement in secondary schools under Thailand's Office of the Basic Education Commission. A mixed-method approach was employed, encompassing comprehensive literature review, qualitative content…

Learning is a continuous process involving teachers, students, materials, and the environment to achieve specific goals. One important aspect of learning is the use of learning media. This study develops a learning media in the form of a magazine on the human circulatory system and an inventory of antihypertensive medicinal plants in Sari Makmur…

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…

Objective: This study examines the validity of the ASRS-5 as a new screening tool for ADHD and evaluates its proposed screening cut-off in a general population context. Method: A nationally representative sample of 2,002 individuals aged 18 to 80 years was surveyed using the ASRS-5, with complete data obtained from 714 participants. Psychometric…

This study explores the role of artificial intelligence (AI) in K-12 student assessment practices, focusing on educators' use of AI tools. Through content analysis of active Facebook groups dedicated to AI in education, the authors examined how educators integrate AI into assessment across various grade levels and subjects. Using the Technology…

From the complex dynamic systems theory perspective, evaluating CALL pedagogy involves miscellaneous variables. It seems the ecosystem of the CALL environment necessitates an array of extralinguistic (Ecolinguistically situated) issues to be considered in any appraisal of the CALL milieu. To this end, this paper aims to develop and validate a…