Generative AI in STEM Teaching: Opportunities and Tradeoffs

This brief from CADRE explores the possibilities and challenges of generative AI (GenAI) for STEM teaching. The brief examines how GenAI may shape STEM classrooms in the near future and identify promising trajectories for integrating GenAI into STEM teaching, including the potential for personalized teaching approaches. 

The brief reaffirms the essential role of teachers and emphasize the need to include teachers in the design, development, and study of GenAI tools that are intended to benefit STEM education. The brief also highlights areas of critical concern, urging those involved in research and development to prioritize GenAI efforts in addressing the substantive problems of practice central to STEM teaching with an overarching aim to create more inclusive learning environments.

This brief is part of a three-part series from CADRE focused on AI in STEM Education.