Integrating Artificial Intelligence (AI) tools with flipped learning in higher education: prospects and challenges

Flipped learning, also referred to as a flipped classroom, is a teaching approach in which students’ study newly acquired knowledge (such as lectures) outside of class and then apply it in class under the guidance of the teacher. It is a form of blended learning that changes the traditional roles of teacher and student. It represents a transformative model in higher education by shifting direct instruction outside the classroom and using in-class time for deeper cognitive engagement (Bergmann & Sams, 2012). While this approach increases student participation and accountability, it also poses new challenges, specifically in providing personalised feedback and supporting students during their self-paced learning. Artificial intelligence (AI), especially with the rise of large language models and adaptive learning systems, offers significant potential to address these challenges. Integrating AI tools into flipped learning can enhance learning instruction, facilitate continuous assessment, and provide active student support.