Understanding the role of emotion in student learning has become increasingly important in educational research, particularly in physically demanding disciplines such as Physical Education (PE), where motivation, confidence, and emotional resilience are critical for performance and engagement. Despite this, limited attention has been given to how…

Background: The rapid advancement of generative artificial intelligence (GenAI) presents both opportunities and challenges for rehabilitation counselor education, particularly in preparing students for complex clinical practice. Objective: This study examined the use of GenAI to support simulated client role-play training in a graduate-level…

Background: Artificial intelligence (AI) and generative artificial intelligence (GenAI) technology have rapidly evolved in recent years, posing substantial implications for counselors, counselor educators, supervisors, and researchers. However, research on AI and counseling is in its infancy, and while some counseling organizations have recently…

Background: Competitive, integrated employment (CIE) rates for individuals with disabilities have continued to be much lower than their peers without disabilities. Integration of advanced technologies to develop and refine innovative, scalable, and sustainable programs that promote CIE in high-demand, economically self-sustaining fields will lead…

Growth in data analytics coupled with transparency movements in higher education has led many colleges and universities to adopt the use of data dashboards that distill large amounts of data into digestible summaries. In this paper, we examine the use of public-facing data dashboards about the profile of a campus community. We refer to these…

Generative Artificial Intelligence (GenAI) has sparked a global debate on its potential as a feedback source for students, yet research in this area remains limited. This study explores students' use of GenAI during peer feedback provision. Fifty-four graduate students enrolled in a master's course in the food science domain at a Dutch university…

The Australian Teacher Education Ministerial Advisory Group (TEMAG) highlighted critical areas for improvement in teacher education, namely, effective pedagogies, assessment and feedback, classroom management, and collaborating with parents and the wider community. This paper describes one Australian university's implementation of a four-part…

Purpose: This study developed and evaluated a video-based machine learning model to automate motor competence assessment and created a user-friendly web platform for teachers and coaches. Methods: A total of 1,063 children (mean age: 7.8 years) performed seven motor skills, recorded on video and assessed by experts using the Test of Gross Motor…

Elementary-school students are increasingly required to compose texts on computers. Composing involves both higher-level (planning, translating and revising) and lower-level (i.e., transcription) skills. It is assumed that automatic lower-level skills enable students to focus their attention on the higher composition demands. However, while…

In this exploratory study, we investigate undergraduate students' engagement with generative Artificial Intelligence (genAI) in proving mathematical statements. We selected six mathematical statements to conduct interviews with three students. We present the emergent framework, Students' Interactive Proving Experience with AI (SIPE-AI), which…

This research represents a creative exploration in the field of music (Practice as Research: PaR) with the objectives of 1) studying the use of a sampler from Isan instruments and instruments from various cultures to create musical compositions using music software, and 2) examining the appropriate contexts for using a sampler in creative musical…

Purpose: The purpose of this study is to determine the characteristics of the studies in terms of country, participant profile and methodology, as well as to determine what the Internet of Things (IoT) is currently contributing to higher education. Design/methodology/approach: The study was developed following the methodology supported by the…

With teachers continuing to report challenges in classroom management and difficulties in implementing scientific inquiry, the current manner in which science practical work is conducted in schools suggests the need for added teacher support. In this regard, we can leverage computer vision to provide instructional support by relieving teachers of…

Bayesian Knowledge Tracing (BKT) is a probabilistic model of a learner's state of mastery for a knowledge component. The learner's state is a "hidden" binary variable updated based on the correctness of the learner's responses to questions corresponding to that knowledge component. The parameters used for this update are inferred/learned…

Technological revolution has continued to permeate all aspects of society. Its roles and impacts cannot therefore be overemphasized. Nevertheless, the roles of technology in law practice and law education in Nigeria have not received considerate research attention. The aim of this paper is to fill this gap by examining law practice and education…