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
Sprachen:
Englisch


Zusammenfassung, Abstract

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 overlap￾ping 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

Zuletzt aktualisiert 2025-19-07 um 17:15