The following are case studies of Dartmouth educators who, with funding and guidance from the Teaching with GenAI Initiative, have made small and large changes in their courses to best prepare students for learning in the age of GenAI. With varying ideas and tools, and with legitimate concerns, they came up with creative approaches to enhance their students' learning experiences and, together, share their findings.
Note: This is a living resource. New case studies are in development and will be added in the coming weeks. Check back often!
Brian O'Connor designed a tool that flips the typical human-AI interaction, prompting the LLM to act as a question-asking partner to help first-year students deepen their analytical skills of course readings and secondary sources.
Read MoreNikhil Singh designed an assignment where students didn't just read about AI, they analyzed their own interactions with it. Their reflections brought rich, firsthand material to class discussions on thorny ethical and technical challenges.
Read MoreTo understand how scholarly fields evolve outside the English-speaking academy, a Dartmouth professor had students experiment with AI to analyze a large body of Spanish-language scholarship.
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