Journal of Information Systems Education (JISE)

Volume 36

Volume 36, Issue 3, Pages 237-256

Summer 2025


Using Generative AI in Higher Education: A Guide for Instructors


Henner Gimpel
University of Hohenheim
Stuttgart, Germany

Kristina Hall
University of Bayreuth
Bayreuth, Germany

Stefan Decker
RWTH Aachen University
Sankt Augustin, Germany

Torsten Eymann
Niklas Gutheil
Luis Lämmermann

University of Bayreuth
Bayreuth, Germany

Niklas Braig
University of Bayreuth
Bayreuth, Germany

Alexander Maedche
Karlsruhe Institute of Technology
Karlsruhe, Germany

Maximilian Röglinger
University of Bayreuth
Bayreuth, Germany

Caroline Ruiner
University of Hohenheim
Stuttgart, Germany

Manfred Schoch
University of Applied Sciences Esslingen
Esslingen, Germany

Mareike Schoop
University of Hohenheim
Stuttgart, Germany

Nils Urbach
Frankfurt University of Applied Sciences
Frankfurt, Germany

Steffen Vandirk
University of Bayreuth
Bayreuth, Germany

Abstract: The rapid advancement of generative AI (GenAI) systems such as ChatGPT raises questions about their potential impact on higher education. This article provides a comprehensive overview of the opportunities, limits, and risks of using GenAI in higher education. Drawing on our experience in information systems, computer science, management, and sociology, we examine the concrete application possibilities of ChatGPT and other GenAIs in the daily activities of higher education, such as teaching courses, learning for an exam, writing seminar papers and theses, and assessing students’ learning outcomes and performance. By offering clear guidelines and actionable recommendations, this article serves as a practical guide for instructors, helping them to use GenAI efficiently and responsibly in their teaching practices. To further highlight the practical relevance of our recommendations, we evaluate their applicability from the perspective of instructors. Finally, we stress the need for further interdisciplinary research and collaboration to gain a deeper understanding of these technologies’ transformative potential in education.

Keywords: Artificial intelligence, Generative AI, Generative AI in teaching, Generative language models, Higher education

Download This Article: JISE2025v36n3pp237-256.pdf


Recommended Citation: Gimpel, H., Hall, K., Decker, S., Eymann, T., Gutheil, N., Lämmermann, L., Braig, N., Maedche, A., Röglinger, M., Ruiner, C., Manfred Schoch, Schoop, M., Urbach, N., & Vandirk, S. (2025). Using Generative AI in Higher Education: A Guide for Instructors. Journal of Information Systems Education, 36(3), 237-256. https://doi.org/10.62273/QLLG7172