Recension des usages d’intelligences artificielles génératives (IAg) pour offrir de la rétroaction en enseignement supérieur

Abstract

Generative artificial intelligence (GenAI) is currently undergoing unprecedented growth in education. Among the ways that GenAI could potentially enhance learning in higher education is its ability to provide personalized feedback. To understand the current state of research, this scoping review synthesizes studies focusing on the use of GenAI to provide feedback on student work. The results reveal a variety of GenAI tools used and the characteristics of the feedback provided. The discussion emphasizes the need for better documentation of the methodological design processes used for GenAI, in order to promote understanding of the studies and the transfer of knowledge.