The growing integration of artificial intelligence (AI) into everyday life necessitates a transformation in machine learning (ML) education and development practices, empowering end users with domain knowledge to independently design, train, test, and deploy specialized ML models. However, the technical complexity of ML, particularly in areas such…

ChatGPT is a new technological tool with the potential to impact education. Using Vergnaud's notion of "use schemes," we analyzed three interviews with engineering students who discovered ChatGPT and started to develop initial utilization schemes of the tool. Results showed that there were three domains of use of ChatGPT: (a) in…

This paper investigates the impact of Artificial Intelligence (AI) on learning outcomes in Early Childhood Education (ECE) in Nigeria. While AI technologies hold the promise of transforming educational experiences through personalized learning, adaptive assessments, and enhanced engagement, their actual influence on young learners in the Nigerian…

The integration of artificial intelligence (AI) in higher education has garnered much attention, prompting educators to thoughtfully examine its implementation within their curricula. This study explores the perceptions of occupational therapy (OT) students regarding the future integration of a novel, course-specific Anatomy AI chatbot: an…

Generative AI affects how students learn to write in more ways than one. Digital literacy experts Troy Hicks and Kristen Hawley Turner explore the ethical and practical challenges of using AI tools in writing lessons. They unpack how AI works and offer strategies that nurture student thinking, creativity, and academic honesty. Learn how to support…

The rapid emergence of Generative Artificial Intelligence (GenAI) presents both opportunities and challenges for higher education, yet empirical evidence from sub-Sahara African contexts, particularly Kenya, remains limited. This study addresses this gap by examining how university educators' perceptions of GenAI influence their willingness to…

The aim of this study was to examine the relationships among teacher characteristics, collaboration, the level of artificial intelligence-integrated technological pedagogical content knowledge (AI-TPACK), and teacher enthusiasm, and to comparatively evaluate these relationships through multi-group analysis (MGA) based on gender. The research model…

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…

While existing literature documents the benefits and concerns of Generative Artificial Intelligence (GAI) for learning processes, it largely overlooks fundamental learning theories such as Cognitive Load Theory, Constructivism, Activity Theory, and Bloom's Taxonomy. This study employs a scoping review methodology to identify current research gaps…

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…

This pilot study explores the potential role of artificial intelligence (AI) technologies in enhancing the academic manuscript-to-journal matching process, focusing on Large Language Models (LLMs). Through a focused evaluation of LLM-based recommendation systems, the study analyzes their performance across 40 papers from four distinct disciplines:…

Artificial Intelligence (AI) is rapidly transforming education, yet many institutions lack a comprehensive framework to integrate AI effectively. This paper develops an AI Education Competency Framework to guide the integration of AI in educational settings through a systematic literature review. Methodologically, a rigorous systematic literature…

Multiple-choice questions (MCQs) are widely used for assessment in medical education. While human-generated MCQs benefit from pedagogical insight, creating high-quality items is time intensive. With the advent of artificial intelligence (AI), tools like DeepSeek R1 offer potential for automated MCQ generation, though their educational validity…