Generative Artificial Intelligence (GAI), with its distinctive capabilities, is inducing profound transformations across multiple industries. In the realm of higher education, a centered around human intellect and pedagogical advancement, these emerging technologies are at a pivotal juncture of change. Within the scope of GAI, the dynamics of…

Purpose: This study investigates the relationships between distributed leadership, innovative work behavior (IWB), and teachers' perceptions of artificial intelligence (AI) implementation in Ghanaian schools. Specifically, it explores the direct and indirect effects of distributed leadership on teachers' perceptions of AI, with IWB acting as a…

Previous studies have used cluster analysis to address the diagnostic heterogeneity of autism spectrum disorder, but have been limited by identifying subgroups solely on the basis of core autism symptoms. The present study aimed to identify sleep phenotypes and their clustering with core autism symptoms in youth diagnosed with autism. 1397…

Machine learning algorithms have been widely used for identifying at-risk students. Current research focuses on timeliness and accuracy of the predictions, leading to a heavy reliance on demographic data, which introduces severe bias issues. This study develops fairness-aware machine learning models to identify at-risk students in high school…

The integration of artificial intelligence (AI) into nursing education is essential for equipping future nurses with the skills required to navigate an increasingly technology-driven healthcare environment. This study aimed to validate the Arabic version of the Unified Theory of Acceptance and Use of Technology (UTAUT-2012) model in assessing…

Little is known about how to develop frameworks for using AI to support learning in English Literature within higher education. This paper presents research that developed a framework for employing AI in the study of the fourteenth-century English poet Geoffrey Chaucer. Studying Chaucer presents challenges for modern readers, as it requires an…

This Fieldnotes article documents the design and implementation of a Philosophy for Children (P4C) lesson aimed at introducing children aged 8-12 to the ethical dimensions of Artificial Intelligence (AI), with a particular focus on data privacy. Drawing on the Community of Philosophical Inquiry (CoPI) methodology--specifically the "Plain…

This study aims to examine the attitudes and readiness of Omani pre-service teachers toward implementing artificial intelligence (AI) in the classroom. The research employed the integrated technology acceptance model (TAM) to explore how these future educators perceive and prepare for AI integration. Using a mixed-methods approach that combined…

Many scholars have traditionally examined features linked to students' science performance by using classical statistical methods. However, there is a dearth of research on predicting student achievements by using machine learning (ML) models in science education. We aim to address this gap using the 2006 and 2015 Program for International Student…

This study used an instrumental approach (Drijvers et al., 2013) to investigate how artificial intelligence (AI) or large language models (LLMs), specifically ChatGPT 3.5, transitioned from an artifact into an instrument for four prospective secondary mathematics teachers through the development of schemes and techniques in using the AI to…

Background: This research explored the associations of interpersonal strengths such as kindness, modesty, teamwork, forgiveness, fairness, love, leadership, social intelligence, and humor, with positive emotions, life satisfaction, negative emotions, and flourishing in high school students in the Philippines, Malaysia, and Ghana. Methods: There…

Purpose: This study investigates how English as a Foreign Language (EFL) teachers from higher education develop and refine their curriculum design with Generative Artificial Intelligence (Gen-AI) collaboration during the Lesson Study (LS). Design/methodology/approach: Through a qualitative case study approach, we followed six English teachers in…

Purpose: This paper investigates the integration of generative AI into lesson study using the TEAM Model platform to enhance teacher professional development. It explores how AI supports the study, plan, teach and reflect phases by improving efficiency, fostering collaboration and enriching reflective practices. Design/methodology/approach: This…

The present study examined the content of applied behavior analytic therapy (ABA therapy) on skill acquisition and intelligence test scores of twenty-eight children with autism and related disabilities. Using a randomized controlled trial, we compared (a) traditional ABA consisting of verbal behavior techniques developed by Skinner (Verbal…

Individuals encounter problems daily wherein varying numbers of constraints require delimitation of memory to target goal-satisfying information. Multiply-constrained problems, such as the compound remote associates, are commonly used to study this type of problem solving. Since their development, multiply-constrained problems have been…