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Introducing Generative Feedback for Chatbots in Digital Higher Education

In: People, Society, and Ethical Challenges of Information Systems

Author

Listed:
  • Dennis Benner

    (University of Kassel, Information Systems)

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 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 toward a better theoretical understanding of the design and practical application of GAI-driven chatbot feedback.

Suggested Citation

  • Dennis Benner, 2026. "Introducing Generative Feedback for Chatbots in Digital Higher Education," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), People, Society, and Ethical Challenges of Information Systems, pages 323-331, Springer.
    • Handle: RePEc:spr:lnichp:978-3-032-08486-6_22
    DOI: 10.1007/978-3-032-08486-6_22
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