Design and Implementation of a General Chemistry Course that Promotes AI Use
As generative AI tools become widely accessible, instructors may face uncertainty about how to respond. This review describes how a large-enrollment general chemistry course was adapted to promote AI use through intentional instructional design. The course featured early framing of AI use, in-class modeling of prompting strategies, AI-compatible practice resources, and regular reflection. These elements were designed to promote intentional, ethical, and metacognitive engagement with AI. Student interviews conducted at the end of the semester offer illustrative insights into how learners responded to the course structure, highlighting shifts from transactional to generative AI use. This grounded example offers a model for promoting AI use in STEM classrooms and provides practical strategies and instructional resources for instructors seeking to integrate AI in pedagogically meaningful ways.
Authors
- Ted M. Clark (ORCID: https://orcid.org/0000-0002-8366-3816)
- Nicolas Tafini
Institutions
- The Ohio State University (US)
Publication Details
- Journal
- Journal of Chemical Education
- Published
- 2025-08-15
- DOI
- https://doi.org/10.1021/acs.jchemed.5c00728
- Citations
- 2
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 1.04