IA generativa e didattica universitaria nell’ambito delle scienze educative: una scoping review.

This paper presents a scoping review that examines the application of Generative Artificial Intelligence (GenAI) in university teaching, particularly in the educa-tion sciences. The authors identify fields, areas, themes and perspectives in re-cent scientific literature, focusing on the benefits and challenges posed by GenAI, including personalised learning, ethical issues and the need for new approaches. The methodology adopted follows a rigorous five-stage Scoping Review process, from the formulation of research questions to the analysis of results, in order to map the exi-sting literature and identify knowledge gaps. Underrepresented areas of research, such as stakeholder perspectives and innovative pedagogical strategies, are highlighted, suggesting a future shift from a reactive to a more proactive approach in university educational design that consciously integrates Generative Artificial Intelligence tools