Division C - Learning and Instruction / Division C - Section 1d: Science

Developing an Assessment of Informal Data Science Learning: Two Cycles of Development, Implementation, and Revision - Leah Rosenbaum, Teachers College, Columbia University; Cody C. Pritchard, University of Tennessee; Joshua M. Rosenberg, University of Tennessee; Paulo Blikstein, Teachers College, Columbia University

Growth of the Soil: How Personally Relevant Soil Data Can Support Learning and Motivation for Underrepresented Students - Ian Thacker, University of Texas - San Antonio; Rebecca Schroeder, University of Texas - San Antonio; Sara Shields-Menard, University of Texas - San Antonio; Nickolas Goforth, University of Texas - San Antonio

In-the-Moment Interpretation of Student Reasoning and Emotion for Responsive Teaching: A Study on AI-Supported Simulation - Nuodi Zhang, Florida State University; Fengfeng Ke, University of Maryland; Chih-Pu Dai, Texas A&M University; Alex Barrett, Florida State University

Prompt Engineering Techniques for Consistently Relevant Math-Science Conversations With an AI-Powered Student - Alex Barrett, Florida State University; Fengfeng Ke, University of Maryland; Saptarshi Bhowmik, Florida State University; Luke West, Florida State University; Nuodi Zhang, Florida State University; Chih-Pu Dai, Texas A&M University; Xin Yuan, Florida State University

What Is the Effect of Animated Paragraph and Animated Concept Map With Self-Explanation on Achievement? - Blessing Akinrotimi, Washington State University; Olusola Olalekan Adesope, Washington State University; Chloe G. Dydasco, Washington State University; Ayo Adaramola, Washington State University

Matthew L. Bernacki, University of North Carolina - Chapel Hill