IPHS 300: AI for Humanity
Document Type
Poster
Publication Date
Spring 2025
Abstract
STEM students frequently struggle with economic thinking due to the particular framework of solving problems they acquire from their respective academic disciplines in undergraduate programs. This AI Socratic tutoring system is designed to detect and address discipline-specific misconceptions and gaps frequently holding students back in economics. Using Google’s Gemini Flash model, this tutor can give students hints and feedback and even reroute students thinking when they are confused. It does so by providing manageable explanations tailored to the individual student’s background across STEM fields like mathematics, physics, engineering, and other STEM fields. This system utilizes a customized Q&A bank pre-loaded with questions and common misconceptions, and gaps for students to practice their economic thinking with guidance from the Socratic tutor as it “speaks” their language. This tutor is also academically safe, as it pushes students to realize the answer themselves instead of providing the answer straight away, like many popular LLMs today.
Recommended Citation
McCloud, Andre, "Translating Economics for STEM Minds: An AI Socratic Tutor That Speaks Their Language" (2025). IPHS 300: AI for Humanity. Paper 58.
https://digital.kenyon.edu/dh_iphs_ai/58
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.