In recent years, remarkable advancements in artificial intelligence technology have created new opportunities for transforming educational systems and enhancing student learning. This study focuses on designing a model for an AI-based intelligent assistant to provide a personalized learning experience in higher education. A qualitative approach…

There is a pressing need to reform governance of higher education to ensure the academic integrity in response to the contemporary implications of generative artificial intelligence. The aim of this paper is to articulate research which reveals ways in which this can be done. First, it considers what new information would help academic governors…

Academic integrity is a critical ethical issue in the use of generative artificial intelligence (AI) for writing assistance. Disclosure of AI-generated content is essential to maintain the authenticity and reliability of information. This study employs a moderated mediation model to examine the mediating role of AI ethics attention in the…

Artificial Intelligence (AI) is reshaping all sectors of society, including libraries. AI adoption in libraries has been gradual due to concerns and challenges, including ethical issues, maturity of the technology, insufficient AI education and training designed for library and information professionals, and gaps in AI education in library and…

Educators evaluate student knowledge using knowledge component (KC) models that map assessment questions to KCs. Still, designing KC models for large question banks remains an insurmountable challenge for instructors who need to analyze each question by hand. The growing use of Generative AI in education is expected only to aggravate this chronic…

When tutoring students it is useful to be able to predict whether they are succeeding as early as possible. This paper compares multiple methods for predicting from sequential interaction data whether a student is on a successful path. Predicting students' future performance and intervening has shown promise in improving learner outcomes and…

Purpose: This research employs machine learning and mediation analysis, along with path analysis, to investigate the correlations between factors such as body mass index (BMI) and the occurrence of diabetes and heart disease among the Indian population. The objective is to enhance models that are specifically designed to accommodate lifestyles,…

Academic mentorship is essential for faculty development, yet mid-career researchers have limited resources. This study explores AI-assisted mentorship models using biosketch analysis, AI mapping, and human expertise to enhance mentor selection. Tools like Google NotebookLM and Mural streamlined coding, visualization, and theme identification,…

Generative Artificial Intelligence (GAI) introduces new opportunities for society. While some universities have adopted GAI with a more hostile stance, others have done so with a more progressive perspective. In light of this contradiction, the main query is what is causing this controversy. The ethical issues surrounding GAI and academic…

Large language models (LLMs) are now widely accessible, reaching learners across all educational levels. This development has raised concerns that their use may circumvent essential learning processes and compromise the integrity of established assessment formats. In physics education, where problem solving plays a central role in both instruction…

This article examines the historical and contemporary mobilizations of 'Luddism' as a mode of resistance to technological inevitability, particularly in response to the integration of generative AI into education. Tracing three historical 'waves' of Luddism -- the original nineteenth century machine-breakers, the Neo-Luddites of the late twentieth…

The Fourth Industrial Revolution, characterized by the proliferation of Artificial Intelligence (AI), is transforming the educational landscape and calls for educators who are not only digitally proficient but also cognitively adaptive. This study investigated the relationship between digital competence and attitudes toward AI among pre-service…

The Unified Theory of Acceptance and Use of Technology (UTAUT) and its successor, UTAUT2, were widely recognised frameworks for understanding technology adoption in organisational and consumer contexts. UTAUT2 extended the original framework by introducing constructs such as hedonic motivation, price value, and habit, broadening its applicability…

This paper explores how Donald Schön's concept of generative metaphor can serve as a conceptual frame for problematising AI in education. Our focus is on the metaphor of AI as autotune for knowledge, as originally proposed by educator Dave Cormier. Through a close reading and exploration of the metaphor, we draw on Schön's conceptual materials to…

As educational institutions grapple with questions about increasingly complex Artificial Intelligence (AI) systems, finding effective methods for explaining these technologies and their societal implications to students remains a major challenge. This study proposes a methodological approach utilising Conceptual Metaphor Theory (CMT) and UNESCO's…