Introducing Generative Feedback for Chatbots in Digital Higher Education

Dennis Benner ()
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Dennis Benner: University of Kassel, Information Systems

A chapter in People, Society, and Ethical Challenges of Information Systems, 2026, pp 323-331 from Springer

Abstract: 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.

Keywords: Generative artificial intelligence; Digital learning; Chatbots; Generative feedback; Higher education (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-032-08486-6_22

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DOI: 10.1007/978-3-032-08486-6_22

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