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A Tutorial on Teaching Data Analytics with Generative AI

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  • Robert L. Bray

    (Department of Operations, Kellogg School of Management, Northwestern University, Evanston, Illinois 60208)

Abstract

This tutorial addresses the challenge of incorporating large language models, such as ChatGPT, in a data analytics class. It details several new in-class and out-of-class teaching techniques enabled by artificial intelligence (AI). Here are three examples. Instructors can parallelize instruction by having students interact with different custom-made GPTs to learn different parts of an analysis and then teach each other what they learned from their GPTs. Instructors can turn problem sets into AI tutoring sessions: a custom-made GPT guides a student through the problems and the student uploads the chatlog for their homework submission. Instructors can assign different labs to each section of a class and have each section create AI assistants to help the other sections work through their labs. This tutorial advocates the natural language programming (NLP) paradigm, in which students articulate desired data transformations with a spoken language, such as English, and then use AI to generate the corresponding computer code. Students can wrangle data more effectively with NLP than with Excel.

Suggested Citation

  • Robert L. Bray, 2025. "A Tutorial on Teaching Data Analytics with Generative AI," Interfaces, INFORMS, vol. 55(4), pages 319-343, July.
    • Handle: RePEc:inm:orinte:v:55:y:2025:i:4:p:319-343
    DOI: 10.1287/inte.2023.0053
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