Artificial Intelligence (AI) technologies are increasingly being integrated into educational environments, especially in areas such as student feedback and assessment. Among these applications, automated grading tools have garnered both interest and controversy for their potential to streamline evaluation processes while raising questions about…

In recent years, virtual reality (VR) and artificial intelligence (AI) technologies have been widely adopted across various sectors of society, including education. We conducted a practical study to assess the effectiveness of immersive technologies in higher education institutions. The research was carried out over a period of ten weeks. Students…

In September 2025, AACRAO, with the support of Coursedog, created and distributed a 60-second survey to AACRAO members regarding the use of AI in academic operations within higher education institutions. Artificial intelligence (AI) is being increasingly used for various tasks in higher education and is gaining wider acceptance. Findings from this…

This research examines the transformative pathways of generative AI tools in the South African higher education landscape, directed by three research questions: (1) specific generative AI tools being utilised, and how are they applied across educational contexts? (2) What are the predominant AI techniques and software tools? (3) What education…

AI-enabled personalization in STEM education is a transformative paradigm in pedagogical approaches, offering students a learning experience that is dynamically responsive to their nuanced requisites. Owing to the rapid development of AI-enabled personalized STEM education, there is a need for more systematic meta-analyses synthesizing its…

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…

The integration of generative artificial intelligence (AI) into academic writing has raised questions about the syntactic complexity of AI-generated texts compared to human-authored essays. While studies have explored syntactic complexity in human writing, limited research has compared AI-generated argumentative and narrative texts, particularly…

This qualitative exploratory study explored the individual processes of five PSTs as they interacted with AI, evaluated AI-generated lesson plans, and how they perceived AI's affordances and constraints. Drawing from the concept of AI literacy, this study provided an in-depth analysis of PSTs' evaluation processes and perceptions on designing with…

Deep learning (DL), as the core technology of artificial intelligence (AI), has been extensively researched in the past decades. However, practical DL education needs large marked datasets and computing resources, which is generally not easy for students at school. Therefore, due to training datasets and computing resources restrictions, it is…

This study examined auditive and visual working memory and metacognitive knowledge in 92 gifted children (aged between eight and twelve), utilising a pre-test-training-post-test design, known as the cognitive training design. This approach was used to examine the working memory and metacognitive knowledge of gifted children concerning the…

Introduction: As a result of similar behavioral manifestations across populations, the conspicuous diagnostic confusion of high intellectual ability (HIA) and Attention Deficit Hyperactivity Disorder (ADHD) is often reported. Approaching Executive Functions as underlying processes can assist in distinguishing the two conditions. The principal aim…

The objective of this research was to develop robust predictive models of the gains in working memory (WM) and fluid intelligence (Gf) following executive attention training in children, using genetic markers, gender, and age variables. We explore the influence of genetic variables on individual differences in susceptibility to intervention.…

This research aimed to describe and evaluate research on the Postgraduate Taught (PGT) sector in the UK from January 2008 to October 2019. The focus on PGT allowed a detailed analysis of an often overlooked part of the HE sector. Methodologically, the research is original in its use of an innovative machine learning approach to a systematic…

Purpose: The contributions from the central auditory and cognitive systems play a major role in communication. Understanding the relationship between auditory and cognitive abilities has implications for auditory rehabilitation for clinical patients. The purpose of this systematic review is to address the question, "In adults, what is the…

ChatGPT was released to the public in November 30, 2022. This study examines how ChatGPT can be used by educators and students to promote learning and what are the challenges and limitations. This study is unique in providing one of the first systematic reviews using peer review studies to provide an early examination of the field. Using PRISMA…