AI in Academic Higher Learning and Latest Trends

Abstract

This editorial presents a special issue that examines the ways in which Artificial Intelligence (AI) is transforming higher Learning. The issue emphasizes how AI technologies are being used to integrate teaching, learning, assessment, feedback, and policymaking in institutions. Part of main conclusions of the contributions is that the Result of AI in Learning depends not on the technology itself, but on how it is pedagogically designed, ethically enabled, and supported by people and institutions. The research in this special issue highlights the significance of motivation, self-regulated learning, responsible use, and inclusive design, as well as the threats of over-reliance, bias, and superficial implementation. Overall, the contribution of the research highlights the necessity for supported, pedagogically informed, human-centered, and purposeful strategies for AI uptake in improved Learning. The emergence prior to productive artificial intelligence (PAI) is reshaping higher education. This systematic review of literature consolidates recent empirical research on the application of GAI, highlighting its effects on teaching, learning, and institutional practices.