Generative AI in STEM Teaching and Learning: Informing Transformative Uses Through Ethical Research and Development

Session Type: Symposium

Abstract

Researchers and developers working on artificial intelligence (AI) in STEM Education will discuss the transformative uses of generative AI across STEM education research, teaching, and learning. We will begin with an overview followed by four presentations: (1) ethical approaches to AI in STEM education research, (2) AI for STEM teaching, (3) integrating research-based learning theory with AI, and (4) AI for STEM learning. A nationally recognized expert in AI in Education will act as Discussant and provide a synthesis of the presentations, papers, and moderate Q&A and panel discussion. The opportunities and challenges discussed will generate reflection and rich discussion for better supporting the use of AI to achieve positive and wide-reaching impact for STEM educators and learners.

Sub Unit

• Division C - Learning and Instruction / Division C - Section 3b: Technology-Based Environments

Chairs

• Eric N. Wiebe, North Carolina State University

• Christopher J. Harris, WestEd

Papers

• Just and Ethical AI Educational Research and Development: A framework and design approach - Tiffany Barnes, North Carolina State University; Joshua Adam Danish, University of Illinois at Urbana-Champaign

• Generative AI in STEM Teaching: The Current State and Emerging Trajectories - Jeremy F. Price, Indiana University - Indianapolis; Shuchi Grover, Looking Glass Ventures

• Transforming Student Learning with Generative AI: Insights from a Constructivist Perspective - Namsoo Shin, Michigan State University

• The Potential of Using AI to Improve Student Learning in STEM - Joseph S. Krajcik, Michigan State University

Discussant

• Tamara Sumner, University of Colorado - Boulder