Collaborative Learning with Nao Robots
The goal of this project is to analyze how to support dyads of middle school learners who interact to teach a robot about mathematics. Learning by teaching interactions, where students explain concepts to other people or to intelligent agents, have been shown to foster improved learning, both through cognitive mechanisms and through social mechanisms. While these mechanisms have been explored in either human-human collaborative groups or human-agent dyads, this project takes a step forward by examining how these interactions unfold in more complex scenarios involving collaborative learning groups with intelligent robots. We are particularly interested in how the robot can use dialogue, gaze, and gesture to facilitate the interactions between the two students and between the robot and the students.
Relevant Papers
- Conference Paper (2023). Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport. In Proceedings of the 24th International Conference on Artificial Intelligence in Education (AIED). [pdf]
- Presentation . (2023). Using referencing dialogue with a teachable social robot to balance student participation. Presented as part of a symposium at the 2023 American Education Research Association (AERA)
- Conference Paper . (2022). Comparison of Lexical Alignment with a Teachable Robot in Human-Robot and Human-Human-Robot Interactions. In Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue. [pdf, poster]