Episode 2: Tailoring AI Integration to Educational Needs

In thiss episode of the EduAI Podcast, we explore how Artificial Intelligence can be effectively tailored to diverse educational contexts within higher education, particularly in the social sciences. Building on the EduAI project´s research, this episode presents key insights from the needs analysis and context mapping carried out across partner countries. It examines how these findings informed the development of the AI Integrated Learning Framework, supporting educators in adapting AI-driven approaches to their specific institutional and learner needs. Through a moderated discussion with expert contributors, the episode highlights the challenges, opportunities, and strategic considerations involved in implementing AI in an inclusive, context-sensitive, and pedagogically sound way. Participants Moderated by Efe Can Tanrisever (University of Ankara) Guest Participants: Mehmet Altug Sahin (University of Istanbul); Bahaeddin Eravci (University of Bilkent); Shkurte Luma-Osmani (University of Tetova) This episode was developed by USDAD, within the Erasmus+ EduAI project Listen full 5 EPs: https://open.spotify.com/show/6Fj9k7B8JH5z...