Using an AI Conversational Agent to Enhance Responsive Teaching Skills of Preservice Teachers in Math Education

• In Event: Revolutionizing Instructional Technology

Abstract

This study examined the effect of an AI-based conversational agent in mathematics education on the responsive teaching skills of preservice teachers (PSTs). We had PSTs interact with a chatbot that simulated a virtual student with a partial understanding of fractions. The effectiveness of the interaction was evaluated by employing a randomized controlled design with pre- and post-tests. In the experimental condition, participants posed questions to the virtual student who responded to the questions. In the control condition, participants also used a chatbot, which elicited participants’ questions but did not respond to the questions. The t-test results indicate that the experimental group outperformed the control group, and the experimental group showed a significant improvement in the post-test results.

Authors

• Dabae Lee, Kennesaw State University

• Sheunghyun Yeo, Daegu National University of Education

• Taekwon Son

• Eunbae Lee, Kyung Hee University