Abstract:

In the realm of higher education, the rapid advancement of technology and the growing importance of active learning, future skills, and student engagement have led to a reevaluation of teaching methods. This abstract explores the relevance and timeliness of incorporating Generative AI into university pedagogy, grounded in research and practical experience. The purpose of this presentation is to elucidate the potential applications of Generative AI in higher education. It will delve into the methods and theories underpinning its utilization, demonstrating the potential impact on student learning, fostering future competencies, and driving pedagogical change. Drawing from established research, the abstract highlights the transformative possibilities of integrating Generative AI into the educational landscape. The presentation combines a theoretical framework rooted in pedagogical principles with practical insights from ongoing research and experimentation. It explores the intersection of active learning, digitization, and the cultivation of future skills through the lens of Generative AI. The theoretical foundation integrates constructivist and connectivist approaches to learning, emphasizing the role of technology in facilitating student-centered, collaborative, and adaptive learning environments. By harnessing Generative AI, educators can enable personalized learning experiences, adapting content and pace to individual student needs. Furthermore, it promotes creativity and critical thinking, nurturing future skills. The interactive nature of Generative AI can enhance student participation, making learning more engaging and dynamic. Insights from ongoing studies (see for e.g Lodge et al. 2023; Mollick & Mollick 2023) indicate that integrating Generative AI into the curriculum has the potential to improve student outcomes, foster independent learning, and drive pedagogical change. In summary, this abstract underscores the pertinence of incorporating Generative AI into university pedagogy, backed by a sound theoretical foundation and empirical evidence. It showcases the transformative potential of this technology, aligning with the themes of active learning, digitalization, fostering future competencies, student engagement, and driving pedagogical change in higher education.

Keywords:

Active Learning, Digitalization, Future Skills, Student Engagement, Pedagogical Change.