Using Generative AI in Higher Education: A Guide for Instructors

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.

Authors

Publication Details

Journal
Journal of Information Systems Education
Published
2025-01-01
DOI
https://doi.org/10.62273/qllg7172
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using Generative AI in Higher Education: A Guide for Instructors

Henner Gimpel, Manfred Schoch, Caroline Ruiner, Nils Urbach et al.
Journal of Information Systems Education
Online Learning and Analytics
article

Using Generative AI in Higher Education: A Guide for Instructors

Henner Gimpel, Manfred Schoch, Caroline Ruiner, Nils Urbach, Torsten Eymann, Mareike Schoop, Luis Lämmermann, Maximilian Röglinger, Stefan Decker, Alexander Maedche, Kristina Hall, Steffen Vandirk, Niklas Gutheil, Niklas Braig
article en

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.

Journal of Information Systems EducationVol. 36(3)
Quality Education
Openalex Percentile: Top 80%
Online Learning and Analytics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Using Generative AI in Higher Education: A Guide for Instructors — Henner Gimpel, Manfred Schoch, et al. · Journal of Information Systems Education (2025) | TGRS Research Map | TGRS