Introducing Generative Feedback to Chatbots in Digital Higher Education
Journal
International Conference on Wirtschaftsinformatik (WI)
Type
conference paper
Date Issued
2024-09-19
Author(s)
Benner, Dennis
Research Team
IWI6
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 towards a better theoretical understanding of the design and practical application of GAI-driven chatbot feedback.
Language
English
Keywords
Generative Artificial Intelligence
Digital Learning
Chatbots
Generative Feedback
Higher Education
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher place
Würzburg, Germany
Pages
9
Event Title
International Conference on Wirtschaftsinformatik (WI)
Event Location
Würzburg, Germany
Event Date
16-19 Sep 2024
Subject(s)
Division(s)
File(s)![Thumbnail Image]()
open.access
Name
JML_979.pdf
Size
248.51 KB
Format
Adobe PDF
Checksum (MD5)
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