Tangible bits: towards seamless interfaces between people, bits and atoms
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Using Robotics to Motivate ‘Back Door’ Learning
Education and Information Technologies
A representation approach to conceptualizing tangible learning environments
Proceedings of the 2nd international conference on Tangible and embedded interaction
International Journal of Artificial Intelligence in Education
Designing Learning by Teaching Agents: The Betty's Brain System
International Journal of Artificial Intelligence in Education
Interactive robots as social partners and peer tutors for children: a field trial
Human-Computer Interaction
Rapidly exploring application design through speed dating
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Exploring the educational potential of robotics in schools: A systematic review
Computers & Education
Learning by teaching simstudent: technical accomplishments and an initial use with students
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part I
Effects of social presence and social role on help-seeking and learning
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
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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. To identify potential design directions, we employ a user-centered method called Speed Dating, involving construction of several scenarios probing student needs, and then orchestration of user enactments of the scenarios. We found that students seek activities that provide them with an appropriate level of challenge, feelings of discovery, opportunity for physicality, and a sense of responsibility for the robot. We discuss the implications of these findings with respect to building a tangible teachable robot. By employing HCI methods underutilized in learning, we gain traction on an important research challenge in education technology.