Robots in the classroom: Learning to be a Good Tutor

Senft, Emmanuel, Lemaignan, Severin, Bartlett, Madeleine , Baxter, Paul and Belpaeme, Tony (2018) Robots in the classroom: Learning to be a Good Tutor. In: R4L @ HRI2018, March 5th, 2018, Chicago, USA.

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Robots in the classroom: Learning to be a Good Tutor
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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


To broaden the adoption and be more inclusive, robotic tutors need to tailor their
behaviours to their audience. Traditional approaches, such as Bayesian Knowledge
Tracing, try to adapt the content of lessons or the difficulty of tasks to the current
estimated knowledge of the student. However, these variations only happen in a limited
domain, predefined in advance, and are not able to tackle unexpected variation in a
student's behaviours. We argue that robot adaptation needs to go beyond variations in
preprogrammed behaviours and that robots should in effect learn online how to become
better tutors. A study is currently being carried out to evaluate how human supervision
can teach a robot to support child learning during an educational game using one
implementation of this approach.

Keywords:Human-robot interaction, educational robotics, robot tutor, robotics education, social robotics, artificial intelligence, machine learning
Subjects:G Mathematical and Computer Sciences > G700 Artificial Intelligence
G Mathematical and Computer Sciences > G440 Human-computer Interaction
Divisions:College of Science > School of Computer Science
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ID Code:31959
Deposited On:10 Jul 2018 14:15

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