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:…

This study examines that does training volume affect the quality of life, emotional intelligence, and performance of shooting athletes with physical disabilities? Ninety participants were randomly assigned to three groups based on weekly shooting durations of 2, 4, and 6 hours, maintaining a 1:1 female-to-male ratio until the total sample size…

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…

The rise of AI in educational assessments has significantly enhanced efficiency and accuracy. However, it also introduces critical ethical challenges, including bias in grading, data privacy risks, and accountability gaps. These issues can undermine trust in AI-driven assessments and compromise educational fairness, making a structured ethical…

Purpose: ChatGPT, an artificial intelligence (AI)-powered chatbot, has gained substantial attention in the academic world for its potential to transform the education industry. While ChatGPT offers numerous benefits, concerns have also been raised regarding its impact on the quality of education. This study aims to bridge the gap in research by…

For randomized trials that use text as an outcome, traditional approaches for assessing treatment impact require that each document first be manually coded for constructs of interest by trained human raters. This process, the current standard, is both time-consuming and limiting: even the largest human coding efforts are typically constrained to…

We fine-tuned and compared several encoder-based Transformer large language models (LLM) to predict differential item functioning (DIF) from the item text. We then applied explainable artificial intelligence (XAI) methods to identify specific words associated with the DIF prediction. The data included 42,180 items designed for English language…

This study introduces a novel Generative Artificial Intelligence (GAI) platform designed to streamline the peer review process. By analyzing a case study of 10 scientific articles, we demonstrate that GAI effectively evaluates article quality and pinpoints specific areas requiring improvement. Our platform achieves an average similarity of 63.6%…