AI Case Studies

Students used a python notebook to examine historical documents from John F. Kennedy’s administration through Close Reading and Distant Reading

Students prompt NotebookLM to find academic sources on historical events and learn strategies to formulate queries.

Students submit traditional written essays & defend/explain them orally in individual meetings with the instructor

Students annotate code, write a prompt precise enough for AI to regenerate it, then compare; gaps in the output reveal gaps in understanding.

Students practice writing abstracts of their research papers with and without AI

Students use NotebookLM to generate audio and video overviews on a venture capital topic generated from class readings and outside research.

Twice this term students will sit for a 20 minute, 1-1 conversation about 1/2 the course material, and receive a grade and feedback.

Students chat with a custom AI chatbot about their completed essay, then write a 1pg reflection on what they learned.

Prompt LLMs to generate survey responses as if they were different kinds of people, then compare these data to responses by actual people.

Students explore different prompting techniques with large language models (LLMs) to label and extract information from text in a dataset.