Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction 2021
DOI: 10.1145/3434073.3444647
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Why We Should Build Robots That Both Teach and Learn

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Cited by 5 publications
(2 citation statements)
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“…The designed system also reminding the child when it is not familiar with the problem statement, promoting the child when child forgot something related to the problem statement, reflecting the child when child made wrong attempt also providing the proper guidance to the student. Adamson et al [14] designed the system that should both learn and teach, they make the system that play the musical harmonies, the system uses the Bayesian Knowledge Tracing (BKT) and deep Knowledge Tracing (DKT). By observing the teacher, their system will learn the music harmonic playing and after training it will now able to teach the other student how to play the given music harmonic.…”
Section: Literature Surveymentioning
confidence: 99%
“…The designed system also reminding the child when it is not familiar with the problem statement, promoting the child when child forgot something related to the problem statement, reflecting the child when child made wrong attempt also providing the proper guidance to the student. Adamson et al [14] designed the system that should both learn and teach, they make the system that play the musical harmonies, the system uses the Bayesian Knowledge Tracing (BKT) and deep Knowledge Tracing (DKT). By observing the teacher, their system will learn the music harmonic playing and after training it will now able to teach the other student how to play the given music harmonic.…”
Section: Literature Surveymentioning
confidence: 99%
“…Social robots are increasingly being used as learning peers and tutors ( Adamson et al, 2021 ), and their unique ability to socially interact with children while being co-located has situated them well as creativity support tools (CST). Previous work has shown that robots are more effective than other mediums used for CSTs, such as screen-based interfaces ( Kahn et al, 2016 ; Ali, 2019 ).…”
Section: Introductionmentioning
confidence: 99%