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…

Background and Context: With the growing movement to adopt critical framings of computing, scholars have worked to reframe computing education from the narrow development of programming skills to skills in identifying and resisting oppressive structures in computing. However, we have little guidance on how these framings may manifest in classroom…

Feedback is an integral aspect of developing self-regulated learning in that it enables the student an opportunity for reflection, making changes, and learning. The computer-based feedback system supports this systematic review in exploring how improvement in academic performance, metacognitive reasoning, and emotional resilience has taken place…

The use of SMS messaging for education has grown in recent years, with particular attention recently during the Covid-19 pandemic. Mobile phones often have high levels of ownership in low-income contexts compared to computers, and lower connectivity requirements, which arguably make this a more equitable medium than data-heavy online instruction,…

Participation rate in adult and continuing education (ACE) is one of the multiple indicators of distributive justice. Nonetheless, the literature of recent decades has turned it into a cardinal principle and value. Expansive paradigm that envisages the progressive and generalised development of participation rate in ACE is examined in this…

Reading for writing tasks have been widely implemented in past decades, but research is still scarce on computer-mediated reading for writing. With a growing interest in collaborative writing and collaborative reading, spurred on by the broader awareness of sociocultural theory and the collaborative nature of digital technologies, we proposed an…

Cross-dimensional interference between spatial and temporal processing provides valuable insights into the neuronal representation of space and time. Previous research has frequently found asymmetric interference patterns, with temporal judgments being more affected by spatial information than vice versa. However, this asymmetry has been…

Large Language Models (LLMs) hold promise as dynamic instructional aids. Yet, it remains unclear whether LLMs can replicate the adaptivity of intelligent tutoring systems (ITS)--where student knowledge and pedagogical strategies are explicitly modeled. We propose a prompt variation framework to assess LLM-generated instructional moves' adaptivity…

Virtual reality (VR) technology has attracted attention due to its advantages in educational fields, and its adoption in English learning can enhance students' learning outcomes. Thus, strengthening VR adoption is conducive to promote learning efficiency and improve the quality of English education. This study analyzes the factors affecting VR…

This article addresses the need for empirical research comparing students' experiences of learning in different hybrid spaces in higher education that blend digital spaces, physical spaces and learning interactions. We focus on hybrid spaces formed around Zoom, non-immersive virtual reality (VR), and on-campus with a telepresence robot (TPR)…