Critical Engagement with GPT in U.S. History: Full Integration in an Undergrad Setting

Key Points

Integrating GPT enhances students' critical review of primary sources, leading to deeper historical thinking.
Students generate draft responses with AI, promoting engagement with historical perspectives along the way.
Analysis involves evaluating machine-generated outputs, balancing AI assistance with human oversight to avoid passive learning.
This approach suggests potential for enhancing AI literacy among undergraduates through hands-on experience.

Abstract

This project integrates a custom-trained GPT model into undergrad U.S. History courses to support students in analyzing primary sources, evaluating historical perspectives, and bridging the gap into AI Literacy. Students use AI to generate draft responses, then critically review, annotate, and revise outputs, ensuring that human oversight fosters deeper historical thinking rather than passive acceptance of machine responses.

Critical Engagement with GPT in U.S. History: Full Integration in an Undergrad Setting

Key Points

Abstract

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