Generative AI in practice - A Teaching Case in the Introduction to Management Information Systems class

Sep 13, 2026

Uploaded by Bintang

Since ChatGPT’s emergence in October 2022, generative AI has rapidly reshaped discussions about work and everyday tasks. To translate this shift into the Introduction to Management Information Systems curriculum for both undergraduate and graduate learners, two short teaching cases were developed. Students use generative AI for meaningful activities and practice prompt writing to produce desired outputs. Student outcomes are evaluated through a pre/post survey and analyzed with a paired t-test, showing improved understanding of generative AI and prompt engineering.

LanguageEnglish

CategoryPresentations

FormatPDF

Pages19

Reading Time7 min

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INTRODUCTION

PROJECT PREWORK

Teaching Case Generative AI in practice: A Teaching Case in the Introduction to Management Information Systems class David R. Firth [david.firth@umontana.edu](david.firth@umontana.edu) Jason Triche [jason.triche@umontana.edu](jason.triche@umontana.edu) Management Information Systems University of Montana Missoula, MT 59812, USA Hook “With how generative AI is evolving, it seems clear that my next hire is going to be a prompt engineer”(Head of global marketing for large multinational software company, 2023) . A prompt engineer is someone who writes the prompts for the future of work in an AI-generated world. This teaching case presents two ways to bring generative AI into the classroom, and introduces students to prompt writing. Abstract Since ChatGPT exploded onto the scene in October 2022, the media has been breathless with their discussion about how it is going to impact many aspects of life and work. In order to bring this new reality of generative AI into the Introduction to Management Information Systems classroom at both the undergraduate and graduate levels, we have developed two short cases that can be completed in or out of the classroom. These cases allow students to use generative AI for an interesting and useful purpose and develop prompts to deliver the output. Students can begin to learn what generative AI can do for them, and how it can shape their future careers. We tested the perceived effectiveness of the project on students using a pre/post survey. The results are analyzed using a paired t-test and demonstrate that students increased their understanding of generative AI and prompt engineering. Keywords: Generative AI, ChatGPT, Future of work, Prompt engineering, Business process Recommended Citation: Firth, D.R., Triche, J.,(2024) . Generative AI in practice: A Teaching Casein the Introduction to Management Information Systems class. Information Systems Education Journal, 22(4), pp.29-47. [https://doi.org/10.62273/LDVL8354](https://doi.org/10.62273/LDVL8354) Generative AI in practice: A Teaching Case in the Introduction to Management Information Systems class David Firth and Jason Triche 1. INTRODUCTION Artificial intelligence is changing job roles at apace that often exceeds the human capability to adapt (Topi, 2019) . “With how generative AI is evolving, it seems clear that my next hire is going to be a prompt engineer” (J. Santucci, personal communication, April 3, 2023) . A prompt engineer is someone who knows how to get the most out of generative AI, such as ChatGPT, by using specific and useful prompts. There are already YouTube videos on how to do prompt engineering with multi-millions of views (e.g. [https://www.youtube.com/watch?v=jHv63Uvk5](https://www.youtube.com/watch?v=jHv63Uvk5)[ ](https://www.youtube.com/watch?v=jHv63Uvk5)[VA](VA))[/](/) The “next hire” quote led us to reevaluate what we are teaching in our Introduction to MIS class. As a result of this conversation, we created a teaching case (i.e., final project) in order to help students understand how they could use generative AI to complete important personal and business tasks. The project also uses elements that require the skills of a prompt engineer. This teaching case is about a single class project that can be incorporated into an undergraduate or graduate introduction to information systems class, or a communications class. It is a highlevel project designed to get students starting to think about and using generative AI. We first introduce students to the basics of generative AI, and some of the different types of generative AI. We then have the students work through two different ways to use generative AI. The first part of the project is to create a video that comes entirely from text prompts. The second part of the project is to start with their resume, and use a C.R.A.F.T. framework (Content at Scale, 2023) to take the output from ChatGPT, or other generative AI platform, to create a cover

FAQs

What is the goal of the teaching cases in the Introduction to MIS class?

The cases are designed to help students understand how to use generative AI for important personal and business tasks, while practicing prompt writing.

What are the two project components students complete using generative AI?

Students create a video generated entirely from text prompts, and they use a C.R.A.F.T. framework to turn resume-based output into a cover letter for a job application.

How is the perceived effectiveness of the project evaluated?

A pre/post survey is used, and results are analyzed with a paired t-test to assess changes in students’ understanding of generative AI and prompt engineering.

Sep 13, 2026

Uploaded by Bintang