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The Review of Socionetwork Strategies

, Volume 12, Issue 1, pp 97–126 | Cite as

A Practical Teacher–Robot Collaboration Lesson Application Based on PRINTEPS

  • Takeshi Morita
  • Shunsuke Akashiba
  • Chihiro Nishimoto
  • Naoya Takahashi
  • Reiji Kukihara
  • Misae Kuwayama
  • Takahira Yamaguchi
Article
  • 83 Downloads

Abstract

To support elementary school teachers in teaching by encouraging active learning while maintaining the interest of pupils, this study focuses on supporting teaching, learning, and monitoring the progress of students through a Teacher–Robot collaboration lesson application using not only laptops and tablets, but also robots and sensors. Since developing a lesson application is time consuming for teachers, we have developed an integrated intelligent application development platform named PRactical INTElligent aPplicationS (PRINTEPS) to aid Teacher–Robot collaboration. However, several functions and interfaces for education are missing. Therefore, in this study, we extend several functions for education to PRINTEPS. In addition, since it is necessary in learning and monitoring the progress of students to present learning content suitable to each pupil’s level of understanding, we also have provided support through the use of a tablet quiz system based on ontologies and rule bases. In the case study, we developed a Teacher–Robot collaboration lesson application and conducted lessons for sixth-grade pupils at an elementary school. From the case study, we have confirmed the effectiveness of our platform and the application.

Keywords

PRINTEPS Ontology Rule base Workflow Educational robotics 

Notes

Acknowledgements

We are grateful to North Grid corporation for implementing the scenario editor and the table quiz system. We are also grateful to Dr. Yuko Ozasa, Mr. Yasuhiro Tanaka, and Ms. Yuki Ishikawa for implementing image processing modules for the review quiz system using Kinect and AR. This work was supported by JST CREST Grant Number JPMJCR14E3, Japan.

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Copyright information

© Springer Japan KK, part of Springer Nature 2018

Authors and Affiliations

  • Takeshi Morita
    • 1
  • Shunsuke Akashiba
    • 1
  • Chihiro Nishimoto
    • 1
  • Naoya Takahashi
    • 1
  • Reiji Kukihara
    • 2
  • Misae Kuwayama
    • 2
  • Takahira Yamaguchi
    • 1
  1. 1.Keio UniversityYokohamaJapan
  2. 2.Keio YochisyaTokyoJapan

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