Empirical evidence has consistently shown that interactive questions are an effective strategy for strengthening student learning through instructional videos. However, research has not directly addressed the crucial question of whether the beneficial effects of interactive questions in instructional videos are attributable to the presence of…

This study explores the level of engagement with Information and Communication Technology (ICT) supported content among students and teachers in learning sciences and basic computing at Rwandan lower secondary schools. Data were collected from ten well-equipped smart classrooms across ten schools. A sample of 394 participants included ten deputy…

Although the competencies expected from administrators have increased with the development of technology, it is seen that there are a limited number of studies on innovative approaches in training school administrators. The study aims investigate the impact of simulation applications on the problem-solving and decision-making abilities of school…

This complex article has six subsections. Following a brief introduction, one team of three co-authors and three single authors present compact statements of their distinctive individual research perspectives on second language acquisition and teaching (SLA/T): Atkinson, Mejía-Laguna, and Ribeiro offer a sociocognitive perspective; Cappellini…

To promote computational thinking in mathematics education, Scratch is used to foster students' computational thinking and mathematical understanding. However, students face challenges in block-based programming environments, such as having low motivation, high anxiety, and cognitive loads. This study combined the pedagogical values of Geogebra…

Longitudinal studies on mainstream children and training studies in the dyslexic population suggest that visual attention span (VAS) abilities contribute to reading acquisition. We evaluated to what extent VAS training in beginning readers might enhance later literacy skills. A large cohort of 453 children was followed from the beginning to the…

Background Study: Assessing learners' inquiry-based skills is challenging as social, political, and technological dimensions must be considered. The advanced development of artificial intelligence (AI) makes it possible to address these challenges and shape the next generation of science education. Objectives: The present study evaluated the SSI…

This systematic review to identify the distribution of articles from two databases using the science mapping method, and to investigate the preparedness of educators for the development of digital education in economics. The descriptive analysis is used to identify the research trends globally on the development of digital education in the scope…

Despite extensive studies on large language models and their capability to respond to questions from various licensed exams, there has been limited focus on employing chatbots for specific subjects within the medical curriculum, specifically medical neuroscience. This research compared the performances of Claude 3.5 Sonnet (Anthropic), GPT-3.5 and…

Team-based learning (TBL) is an active learning instructional strategy shown to improve student learning in large-enrollment courses. Although early implementations of TBL proved generally effective in an undergraduate exercise physiology course that delivered an online individual readiness assurance test (iRAT) before class, the instructor…

Artificial Intelligence (AI) has emerged as a transformative force in the field of journalism, reshaping various aspects of news production, content delivery, and audience engagement. This study uses the theory of disruptive innovation to examine the impact of AI in journalism education. We conducted 14 in-depth interviews with Accrediting Council…

This study used a multiple baseline across behaviors design to analyze the effects of didactic training plus simulated rehearsal and feedback on a preservice teacher's implementation of behavior management skills (i.e., opportunities to respond, behavior specific praise, token reward system) with students with autism spectrum disorders (ASD).…

Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in…

An alternating treatments design was used to analyze the effects of concrete and virtual manipulatives on the duration and number of correctly solved linear equations by three middle school students with cognitive disabilities. Participants physically manipulated algebra tiles to solve an equation during the concrete manipulative condition. During…

We used a single case concurrent multiple probe across participants design to evaluate the effects of a multi-component intervention package on the number of correct sentences used when writing about a story for three rural elementary students with intellectual or developmental disabilities and extensive support needs. The package was comprised of…