My thoughts on generative artificial intelligence in education

Author

Benjamin S. Baumer

Published

August 27, 2025

As of this writing, I remain steadfast in my belief that the skills developed in our courses—specifically including the ability to read, write, and understand code in the service of achieving the learning goals for the course—are valuable to the students who choose to take my courses.

Nevertheless, I acknowledge that generative artificial intelligence tools, such as ChatGPT, are putting pressure on that belief (Ellis and Slade 2023; DeLuca et al. 2025). There is a reasonable skepticism towards the value of programming ability growing among our student populations and society at large: If generative AI tools can write code (as well or better than me), why should I bother to learn to program?

I offer the following rebuttals, not all of which I fully believe, but all of which I think contain some kernel of truth:

References

DeLuca, Laura S, Alex Reinhart, Gordon Weinberg, Michael Laudenbach, Sydney Miller, and David West Brown. 2025. “Developing Students’ Statistical Expertise Through Writing in the Age of AI.” Journal of Statistics and Data Science Education, 1–13. https://doi.org/10.1080/26939169.2025.2497547.
Ellis, Amanda R, and Emily Slade. 2023. “A New Era of Learning: Considerations for ChatGPT as a Tool to Enhance Statistics and Data Science Education.” Journal of Statistics and Data Science Education 31 (2): 128–33. https://doi.org/10.1080/26939169.2023.2223609.
Vee, Annette. 2013. “Understanding Computer Programming as a Literacy.” Literacy in Composition Studies 1 (2): 42–64. https://d-scholarship.pitt.edu/21695/.