Social Robot for STEM Education

Muneeb Ahmad, Mark Khordi-moodi, Katrin Solveig Lohan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This work explores the use of the Cozmo robot to deliver mathematics education. Recently, we see a lot of work presented on using robots for education but few works centred around the age group of children between 14-17 years of age in combination with a non-humanoid robot. Reflecting on this limitation, Cozmo autonomously delivered engaging material and exercises to learners. We studied the subjective ratings of young learners' knowledge gains with Cozmo on the topics of algebra, geometry and trigonometry. We found that participants' subjective rating on their knowledge changed significantly after the interaction. This implied a positive influence of employing Cozmo with this age group and also reflected on the need to do more research in schools with affordable non-humanoid, autonomous social robots.
Original languageEnglish
Title of host publicationHRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
PublisherAssociation for Computing Machinery
Pages90-92
Number of pages3
ISBN (Electronic)9781450370578
DOIs
Publication statusPublished - 23 Mar 2020
Event15th Annual ACM/IEEE International Conference on Human Robot Interaction 2020 - Corn Exchange, Cambridge, United Kingdom
Duration: 23 Mar 202026 Mar 2020
https://humanrobotinteraction.org/2020/

Conference

Conference15th Annual ACM/IEEE International Conference on Human Robot Interaction 2020
Abbreviated titleHRI 2020
CountryUnited Kingdom
CityCambridge
Period23/03/2026/03/20
Internet address

Keywords

  • Cozmo
  • Educational robots
  • Human-robot interaction
  • Social robots
  • Stem

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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  • Cite this

    Ahmad, M., Khordi-moodi, M., & Lohan, K. S. (2020). Social Robot for STEM Education. In HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (pp. 90-92). Association for Computing Machinery. https://doi.org/10.1145/3371382.3378291