✨Guide: How Professors Can Discourage and Prevent AI Misuse
The past six months of our research is gathered into a guide for professors for the fall semester.
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Welcome to AutomatED: the newsletter on how to teach better with tech.
Each week, I share what I have learned — and am learning — about AI and tech in the university classroom. What works, what doesn't, and why.
In this fortnight’s Premium edition, I present a guide for how to discourage and prevent AI misuse.
Over the past six months, we have been testing take-home assignments for our AI-immunity challenge — experimenting with them to see if we can crack them with AI tools alone in an hour or less. We have been testing our own assignments, experimenting with all sorts of AI tools, and reading about others’ methods online and in our learning community. We have been researching AI detectors. We have been thinking seriously about how to design assignments to encourage AI use, as well as how to design them to prevent AI misuse. We have been consulting with professors about how to build their courses for the fall. We have been collaborating with educational researchers to learn more about best practices for oral assessments and in-class dialogue.
In this piece, I build on these experiences to present a comprehensive guide to discouraging and preventing AI misuse by university students.
I am often told by professors that they would appreciate a zoomed-out take on this issue, rather than a piecemeal or partial approach. Here it is, with the main options available to professors, at least as I see things here in the summer of 2023.
🖼️ The Big Picture
There are six broad strategies you can take to discourage and prevent AI misuse by students on a given assignment:
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