Beitrag in einem Tagungsband
Introducing Generative Feedback to Chatbots in Digital Higher Education
Details zur Publikation
Autor(inn)en: | Benner, D. |
Herausgeber: | Flath, Christoph M; Gust, Gunther; Thiesse; Frédéric; Winkelmann, Axel |
Verlagsort / Veröffentlichungsort: | Würzburg, Germany |
Publikationsjahr: | 2024 |
Seitenbereich: | 99 |
Buchtitel: | Wirtschaftsinformatik 2024 Proceedings : Internationale Tagung Wirtschaftsinformatik 2024 |
URN / URL: |
Sprachen: | Englisch |
The rapid evolution of the educational landscape, accentuated by the rise of Generative Artificial Intelligence (GAI), calls for a re-evaluation of digital education methodologies to harness new technologies and meet the changing needs of learners. Focusing on the potential of GAI, this study introduces a novel approach called generative feedback and explores its impact on the motivation, learning experience and performance of students in higher education. Therefore, this study presents a prototype that implements a GAI-driven chat using OpenAI’s GPT-4 turbo model to provide feedback to students. Using an overlapping study design that combines a longitudinal field study and a two-stage online experiment, this study investigates how generative feedback affects learners. Initial findings suggest that GAI-driven chatbots can provide meaningful feedback to students and enhance their learning experience, setting the stage for further investigation towards a better theoretical understanding of the design and practical application of GAI-driven chatbot feedback.
Schlagwörter
chatbots, digital learning, generative artificial intelligence, generative feedback, higher education