Enhancing Complex Mathematics Problem Solving Through Learning by Teaching With a Teachable Agent

• In Event: Learning Environments as Nurturing Spaces for the STEM Disciplines

Abstract

We created an intervention to improve complex mathematics problem solving by developing a teachable agent learning environment. Sixty-nine elementary students were randomly assigned to one of two conditions: learning by teaching with a teachable agent (LTTA), or learning for learning (LL). All students completed concept maps to assess their task understanding. Based on the map, students in the intervention group “taught” their student agent how to solve the problem through a quiz that focused on important aspects of the problem. All students then solved a mathematics problem. Self-regulatory strategies were captured via self-report following problem completion. Results showed that students in the LTTA condition developed more detailed concept maps and had significantly higher achievement compared to students in LL condition.

Authors

• Cynthia Psaradellis, McGill University

• Krista R. Muis, McGill University

• Andy Smith

• Susanne P. Lajoie, McGill University