Incorporation of AI Tools into Undergraduate Physics Teaching

Determine how artificial intelligence tools such as ChatGPT-5 should be incorporated into undergraduate physics teaching, specifying practical approaches for their use within course instruction and laboratory activities.

Background

The paper presents a hands-on teaching-lab experiment in diode laser spectroscopy and, in Appendix 2, demonstrates a complete data analysis workflow performed using ChatGPT-5. This exploration highlights emerging capabilities of AI tools (as of 2025) to conduct physics-related data processing, fitting, and interpretation.

Within this context, the author explicitly notes uncertainty about how such AI tools will be integrated into undergraduate physics education going forward, marking a concrete unresolved question about the pedagogical integration and adoption of AI in physics curricula and labs.