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Teachable Robot Project
Artificial intelligence (AI) systems are becoming more prevalent, with important applications in business, education, law, and medicine. Intelligent learning systems of the future are likely to require ongoing, human-in-the-loop teaching. Our research aims to create new technologies that allow people to teach machines implicitly/offline or explicitly/online, and in such a way that is mutually beneficial to both humans and machines. In the Teachable Robot Project, we developed a machine teaching platform, called the Curiosity Notebook, that allows groups of students to read educational texts related to a topic, and teach the concepts (e.g., how to classify rocks/minerals) to a conversational agent acting as a less knowledgeable peer.
K-J. Lee, A. Chauhan, J. Goh, E. Nilsen and E. Law. Curiosity Notebook: The Design of a Research Platform for Learning by Teaching. In CSCW 2021.
J. Ceha, D. Kulic, P-Y Oudeyer, D. Roy, E. Law. Identifying Functions and Behaviours of Social Robots for In-Class Learning Activities: Teachers' Perspective. In International Journal of Social Robotics, 2021.
P.B. Ravari1, K-J Lee, E. Law and D. Kulic. Effects of an Adaptive Robot Encouraging Teamwork on Students' Learning. In IEEE International Conference on Robot and Human Interactive Communication (ROMAN), 2021.
J. Ceha, K. J. Lee, E. Nilsen, J. Goh and E. Law. Can a Humorous Conversational Agent Enhance Learning Experience and Outcomes? In CHI 2021. * Best Paper Honorable Mention