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This work demonstrates the importance of understanding the human-teacher/robot -learner partnership in order to design algorithms that support how people want to teach and simultaneously improve the robots learning behavior.
Teachable robots are a form of social robot for education, where learners engage in conversation to teach the robot like they would a peer.
In this paper, we present a fully autonomous robot for middle school math; we iterate through three design phases and analyze responses to identify how to better.
Robotic learning environments may benefit if combined with intelligent tutoring technologies, but it is unclear how best to integrate the two types of systems.
We explore this integration using a tangible teachable agent paradigm, where students teach a robot about geometry concepts.
After teaching the robots these movements, they can be executed simply with a gesture or a voice command.
You put your hand up, and the.