Face anonymization in intelligent experimental education is crucial for privacy protection. This paper presents a novel, real-time face blurring system for smart experimental settings. Our key contributions include: 1) customized YOLOv8 (Multi-Scale Feature Fusion YOLOv8) algorithm achieving 96% accuracy at 22.67 fps for 1080p video. 2) An…

The rapid development of Generative AI (GenAI) tools presents challenges for their ethical and responsible use. This pilot study examines student learning agreements as a governance tool for GenAI use in a first-year engineering course. These agreements included ethical and social considerations that students accepted if they chose to use GenAI.…

Since higher education institutions aim to promote social justice through equity, diversity, and inclusion (EDI), educators have raised concerns about the equitable and inclusive implementation of AI-based assessment practices in academic writing for multilingual students, who have been historically disenfranchised. Using academic literacies and…

This study investigates the role of generative artificial intelligence (AI) in music education, focusing on its dual function as a creative tool and a mechanism of algorithmic surveillance. Utilizing AI platforms such as Suno.AI, MusicFX, and Udio, the study examines AI's potential to foster creativity, enable synesthetic learning, and personalize…

The role of AI in education is slowly growing. As a new technology, its uses and capabilities have not been fully realized or understood. AI provides many opportunities as well as challenges for supporting students, teachers, and skills development. However, from higher education faculty to preschool teachers, the ways in which AI can support…

How can students use AI as a tool to assist them in the learning process? More importantly, how are students using AI and how is it impacting their learning? The purpose of this research study was to explore and understand the perceptions of students' experiences with AI tools and how it has impacted their learning experience. As AI continues to…

Purpose: This study investigates the significant determinants that lead different work-field employees to develop intentions to enroll in educational programs that use artificial intelligence (AI). Venkatesh's (2000) technology acceptance model 3 (TAM3) is the foundation for the proposed research model in the current study, presenting a complete…

Academic reading, a cornerstone of postgraduate education, often presents challenges, particularly for non-native English speakers. These include complex texts, extensive vocabulary, and integrating diverse sources. This study investigates the potential of ChatGPT as an academic reading tool for postgraduate students, emphasizing its usability,…

This paper explores the distinctions and connections between AI literacy and AI fluency, drawing parallels with the historical development of other literacies such as computer literacy and digital fluency. The paper argues that while AI literacy focuses on understanding and evaluating AI technologies, AI fluency represents a higher-order…

This study comprehensively maps the development and trends in AI and transformative learning research in higher education from 2019 to 2025. Using a systematic literature review and bibliometric analysis, it answers six key questions to explore the evolution of AI integration in transformative learning. Analyzing 181 Scopus-indexed articles, the…

Generative Artificial Intelligence (GenAI) chatbots provide teachers with opportunities to enhance their expertise by exploring topics relevant to their practice. However, studies have raised concerns about ChatGPT's mathematical accuracy. This pilot study evaluated ChatGPT's Pedagogical Content Knowledge (PCK) and Content Knowledge (CK),…

Despite the increasing interest in artificial intelligence technologies in education, there is a gap in understanding the factors influencing the adoption of ChatGPT among Nigerian higher education students. Research has not comprehensively explored these factors in the Nigerian context, leaving a significant gap in understanding technology…

This study introduces and validates the artificial intelligence anxiety scale (AIAS), a novel instrument designed to measure researchers' anxieties when employing artificial intelligence (AI) tools in academic writing. As AI technologies rapidly infiltrate scholarly work, however, the primary concern grows about their ethical implications, impact…

Facing the urgent need for personalized and real-time interaction in music education, this study constructed an artificial intelligence-assisted interactive platform that offers targeted support in pitch recognition, rhythm training, and classroom feedback. Through function planning and algorithm optimization, it enables diversified…

The integration of artificial intelligence (AI) into augmentative and alternative communication (AAC) systems has revolutionized the way non-verbal individuals interact with their environment. AI-powered symbolic text prediction offers innovative solutions to enhance expressive and receptive communication, promoting autonomy and social inclusion.…