Learning Ecosystem in Elementary School Using Modifiable Humanoid Robot

Takuya Sato, Hirotaka Osawa

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

Abstract

In this research, the authors considered a method of generating an ecosystem of learning between classrooms using robots that children can edit themselves. A robot that allows children to choose faces and motions, as well as create user content and receive feedback on that content, was developed. This robot system was introduced and tested in an elementary school with 164 students. First, the 5th grades 18 children were taught how to set up the robot, and then they learned how to create usable content. From this, 19 robot contents were created. Next, the robot system was monitored for 2 months, and the teacher-created content was compared with the student-created content. It was found that the content created by the children was more interesting to the students than the teacher created content. Through an interview with the school librarian, the authors found that the classroom has enough learning ecosystem with elderly to younger children.

Original languageEnglish
Title of host publicationHRI 2019 - 14th ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages596-597
Number of pages2
ISBN (Electronic)9781538685556
DOIs
Publication statusPublished - 2019 Mar 22
Externally publishedYes
Event14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019 - Daegu, Korea, Republic of
Duration: 2019 Mar 112019 Mar 14

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
Volume2019-March
ISSN (Electronic)2167-2148

Conference

Conference14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019
Country/TerritoryKorea, Republic of
CityDaegu
Period19/3/1119/3/14

Keywords

  • Education
  • Human-Agent Interaction
  • field trial

ASJC Scopus subject areas

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

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