AI in STEM education
On learning, teaching, and the role of AI in scientific inquiry.
Large language models and AI are becoming increasingly important core tools in industry and research in STEM-based fields. For learners and educators working in STEM, navigating the integration of AI into our practices can seem overwhelming. Much about AI and educational practice is still unknown, but we can figure things out together as a community. In that spirit, this page contains resources for students who want to use AI as they learn and for teachers wondering how to effectively incorporate and manage AI use in their curricula and classrooms. Please feel free to take, share, copy, modify, and make full use of these materials.
Resources for students on learning with AI
Using AI for Learning in Applied Mathematics
A quick overview highlighting ways that LLMs can both support and harm learning. It points out risky ways to use them and productive ways to use them thoughtfully. Video walkthrough of the document.
Prompts for setting up an AI tutor
Prompts designed to guide an LLM in acting more like an instructor or tutor for undergraduate mathematics topics. Video Demo: Learning with an LLM with vs. without tutorial prompting.
Sample syllabus material
This document provides sample language for course policies and classroom expectations around generative AI use.
Course project ideas
Ideas for developing projects in applied math courses that leverage AI.
Research
This will include links to useful research papers and resources from experts in education and AI.