System for visually organizing documents and histories involved with research work aimed at sustainably cultivating learning strategies

Shoichi Nakamura, Ryo Onuma, Hiroki Nakayama, Tsubasa Shimoyama, Hiroaki Kaminaga, Youzou Miyadera

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

Abstract

The importance of project-based learning has increased. However, existing systems and methods have not been effective enough at taking advantage of past experiences for progressive learning, which is one of the most promising approaches. In practical work situations, suggesting and recalling experiences with intuitive expressions such as “like that case” is often successful. In this research, we focused on the fact that examining learning/teaching strategies tend to close by each piece of work and issue. To solve this problem, we developed methods for accumulating and organizing documents and work histories involved with research activities. In this paper, we mainly describe a system for organizing the experience cases into visual sheets. We also discuss the characteristics of our methods on the basis of the results of experiments.

Original languageEnglish
Title of host publicationProceedings of the 2019 11th International Conference on Education Technology and Computers, ICETC 2019
PublisherAssociation for Computing Machinery
Pages34-39
Number of pages6
ISBN (Electronic)9781450372541
DOIs
Publication statusPublished - 2019 Oct 28
Event11th International Conference on Education Technology and Computers, ICETC 2019 - Amsterdam, Netherlands
Duration: 2019 Oct 282019 Oct 31

Publication series

NameACM International Conference Proceeding Series

Conference

Conference11th International Conference on Education Technology and Computers, ICETC 2019
Country/TerritoryNetherlands
CityAmsterdam
Period19/10/2819/10/31

Keywords

  • Experience case sheet
  • Learning Strategy
  • Recall of work circumstance
  • Sustainable fostering of learning strategy

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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