G(AI)etting with the program: Teaching IS and Analytics in the age of GAI

Now that ChatGPT and other Generative Artificial Intelligence (GAI) tools have been generally available to the public for over 2 years, it is time to assess their use by students and faculty in the classroom. In its most basic sense, GAI becomes another resource or tutor for our students. As GAI is used in more and more workplaces, do faculty owe it to students to provide opportunities to practice its use? To that end, we examine the use of GAI in undergraduate business analytics optimization and programming courses. The courses required students to formulate and solve the problems on their own and also to explicitly use a GAI tool and critique its performance and effect on their learning process. We find that students' reactions were mixed, some noting their lack of prompt generation skills or not trusting the results, but overall the experience was positive with students highlighting efficiency and optimism for the future of GAI tools. We suggest a call to embrace GAI tools by helping students understand their uses and limitations to ensure students are “job ready” and also to adapt our teaching to better highlight problem solving and critical thinking skills.

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Publication Details

Journal
Communications of the Association for Information Systems
Published
2025-01-01
DOI
https://doi.org/10.17705/1cais.05642
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00

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article

G(AI)etting with the program: Teaching IS and Analytics in the age of GAI

Andrew Urbaczewski, Kellie B. Keeling
Communications of the Association for Information Systems
Big Data and Business Intelligence
article

G(AI)etting with the program: Teaching IS and Analytics in the age of GAI

Andrew Urbaczewski, Kellie B. Keeling
article en

Abstract

Now that ChatGPT and other Generative Artificial Intelligence (GAI) tools have been generally available to the public for over 2 years, it is time to assess their use by students and faculty in the classroom. In its most basic sense, GAI becomes another resource or tutor for our students. As GAI is used in more and more workplaces, do faculty owe it to students to provide opportunities to practice its use? To that end, we examine the use of GAI in undergraduate business analytics optimization and programming courses. The courses required students to formulate and solve the problems on their own and also to explicitly use a GAI tool and critique its performance and effect on their learning process. We find that students' reactions were mixed, some noting their lack of prompt generation skills or not trusting the results, but overall the experience was positive with students highlighting efficiency and optimism for the future of GAI tools. We suggest a call to embrace GAI tools by helping students understand their uses and limitations to ensure students are “job ready” and also to adapt our teaching to better highlight problem solving and critical thinking skills.

Communications of the Association for Information SystemsVol. 56
University of Denver (US)
University of North Texas
Openalex Percentile: Top 81%
Big Data and Business Intelligence
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