Exploring Implementations of GenAI in Teaching IS Subjects and Student Perceptions

This research answers the call for Information Systems (IS) faculty to actively embrace rapidly advancing AI tools in teaching.We experimented with redesigning learning activities in two courses, requiring students to use GenAI, to aid student learning and teach responsible use of GenAI.The results show that students in the experimental group performed at the same or a higher level than those in the control group in terms of learning.Additionally, the two major concerns reported in prior research, (1) academic integrity and (2) student overreliance on AI and AI hallucinations, were not issues in our study.We conducted a student perception survey and found that students responded favorably to GenAI assignments, though not all students actively engaged with GenAI.This research demonstrates two ways of incorporating GenAI in teaching (assisting with writing a technical report and learning programming concepts) and provides initial empirical support for proactively adopting GenAI in higher education.Learning from the experiment, we provide practical recommendations for applying GenAI in teaching and learning IS subjects.

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Publication Details

Journal
Journal of Information Systems Education
Published
2025-01-01
DOI
https://doi.org/10.62273/wfho1011
Citations
2
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
3.39
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article

Exploring Implementations of GenAI in Teaching IS Subjects and Student Perceptions

Yabing Jiang, Kazuo Nakatani
2 citations
Journal of Information Systems Education
Online Learning and Analytics
3.39
article

Exploring Implementations of GenAI in Teaching IS Subjects and Student Perceptions

Yabing Jiang, Kazuo Nakatani
article en
2 citations

Abstract

This research answers the call for Information Systems (IS) faculty to actively embrace rapidly advancing AI tools in teaching.We experimented with redesigning learning activities in two courses, requiring students to use GenAI, to aid student learning and teach responsible use of GenAI.The results show that students in the experimental group performed at the same or a higher level than those in the control group in terms of learning.Additionally, the two major concerns reported in prior research, (1) academic integrity and (2) student overreliance on AI and AI hallucinations, were not issues in our study.We conducted a student perception survey and found that students responded favorably to GenAI assignments, though not all students actively engaged with GenAI.This research demonstrates two ways of incorporating GenAI in teaching (assisting with writing a technical report and learning programming concepts) and provides initial empirical support for proactively adopting GenAI in higher education.Learning from the experiment, we provide practical recommendations for applying GenAI in teaching and learning IS subjects.

Journal of Information Systems EducationVol. 35(2)
Florida Gulf Coast University (US)
Quality Education
Openalex Percentile: Top 7%
Online Learning and Analytics
3.39
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