Development and Evaluation of an Agent System to Facilitate Online Collaborative Learning of Robot Programming

Abstract

Robot programming education has been actively promoted around the world. Robot programming education is recommended to incorporate collaborative learning, and the role of the teacher is important. However, due to educational disparities, teachers are currently unable to adequately support collaborative learning. We developed a voice support system that automates the teacher’s voice and a matching system that automates the group formation in online pair collaborative learning of robot programming, followed by an evaluation experiment of these systems. The voice support system had a positive impact on learners to solve problems. In addition, the matching system was highly satisfactory for learners with low basic academic ability.