TY - GEN
T1 - Learning Ecosystem in Elementary School Using Modifiable Humanoid Robot
AU - Sato, Takuya
AU - Osawa, Hirotaka
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/3/22
Y1 - 2019/3/22
N2 - 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.
AB - 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.
KW - Education
KW - Human-Agent Interaction
KW - field trial
UR - http://www.scopus.com/inward/record.url?scp=85064004551&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85064004551&partnerID=8YFLogxK
U2 - 10.1109/HRI.2019.8673118
DO - 10.1109/HRI.2019.8673118
M3 - Conference contribution
AN - SCOPUS:85064004551
T3 - ACM/IEEE International Conference on Human-Robot Interaction
SP - 596
EP - 597
BT - HRI 2019 - 14th ACM/IEEE International Conference on Human-Robot Interaction
PB - IEEE Computer Society
T2 - 14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019
Y2 - 11 March 2019 through 14 March 2019
ER -