AI Methods

Students used a python notebook to examine historical documents from John F. Kennedy’s administration through Close Reading and Distant Reading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 annotate code, write a prompt precise enough for AI to regenerate it, then compare; gaps in the output reveal gaps in understanding.

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.