In-the-Moment Interpretation of Student Reasoning and Emotion for Responsive Teaching: A Study on AI-Supported Simulation

• In Event: From Animation to AI: Innovative Tools for Modeling and Assessing Science Learning

Abstract

Teachers’ in-the-moment interpretation of student resources is critical in a responsive pedagogy. This study leveraged AI-powered teaching simulation and examined whether preservice teachers engaged in interpretative acts and how these interpretations support their responsive teaching practices. Preliminary results of a qualitative case study were reported. Results indicated that responsive talk moves were predominant during simulation-based teaching practice, with the moves of “connect” and “follow up” being most frequently enacted. Meanwhile, the participant devoted commitment to interpreting students’ disciplinary and emotional resources. In-the-moment interpretation of student reasoning and emotion helped the teacher understand students’ prior knowledge and current understanding and prompted the teacher to appreciate and value student ideas and emotions, thus promoting a responsive teaching pedagogy.

Authors

• Nuodi Zhang, Florida State University

• Fengfeng Ke, University of Maryland

• Chih-Pu Dai, Texas A&M University

• Alex Barrett, Florida State University