A teachable agent is a learning companion that students teach about a domain they are trying to master. While most teachable agents have been virtual, there may be advantages to having students teach an agent with a physical form (i.e., a robot). The robot may better engage students in the learning activity, and if students take embodied action in order to instruct the robot, they may develop deeper knowledge. In this paper, we investigate these two hypotheses using the rTAG system, a teachable robot for geometry learning. In a study with 37 4th-6th grade participants, we compare rTAG to two other conditions, one where students use embodied action to teach a virtual agent, and one where students teach a virtual agent on a personal computer. We find that while there are no significant learning differences between conditions, students' perceptions of the agent are influenced by condition and prior knowledge.

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Keywords Personalized learning, Robotic learning environment, Teachable agent
Persistent URL dx.doi.org/10.1109/ICALT.2016.129
Conference 16th IEEE International Conference on Advanced Learning Technologies, ICALT 2016
Walker, E. (Erin), Girotto, V. (Victor), Kim, Y. (Younsu), & Muldner, K. (2016). The Effects of Physical Form and Embodied Action in a Teachable Robot for Geometry Learning. In Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016 (pp. 381–385). doi:10.1109/ICALT.2016.129