Italy-Japan international project-based learning for developing human resources using design of welfare equipment as a subject

Akihiko Hanafusa, T. Komeda, Kazuhisa Ito, P. Beomonte Zobel

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

Abstract

Project-based learning (PBL) is effective for developing human resources of young students. The design of welfare equipment, such as wheelchairs and gait assistive devices, is taken as the subject in this study because these devices must be fit to their environment, users, and method of use; students must consider the circumstances of each country concerned. The program commenced in 2012 at L'Aquila, Italy, and the Shibaura Institute of Technology, Japan and has been continuing for three years. Students were divided into four groups and discussions were held on how to adapt the equipment to the user and environment. After discussion, they designed and simulated a model of the equipment using CAD. Finally, they presented their designs to each other. Through the program, students had fruitful discussions, exchanged ideas from different cultures, and learned from each other. Furthermore, friendships among the students were nurtured. It is believed that the objective of the program was satisfactorily accomplished.

Original languageEnglish
Title of host publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3675-3678
Number of pages4
Volume2015-November
ISBN (Print)9781424492718
DOIs
Publication statusPublished - 2015 Nov 4
Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy
Duration: 2015 Aug 252015 Aug 29

Other

Other37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
Country/TerritoryItaly
CityMilan
Period15/8/2515/8/29

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

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