Course Integrates Generative AI Into Astronomy Education
Christopher Stubbs et al. (submitted Feb 4, 2026) integrate generative artificial intelligence into an introductory undergraduate astronomy course, using GAI in Python notebooks, selected assignments, student presentations, and a Slack participant backed by a RAG-encoded textbook. Assignments were labeled GAI-encouraged or GAI-discouraged and exams banned electronics; end-of-course evaluations showed no decline compared with the prior non-GAI iteration.
Key Points
- 1Integrates generative AI across labs, assignments, presentations, and Slack with RAG-encoded textbook
- 2Protects assessment integrity by banning electronics for midterm and final exams
- 3Shows adoption without harming evaluations; feasible for instructors balancing pedagogy and integrity
Scoring Rationale
Practical classroom integration and measurable outcomes drive score; limited novelty and single-course scope constrain broader impact.
Sources
Public references used for this report.
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