Assessment Map for Multidisciplinary Abilities for IoT System Development Education based on a Robot Contest

Harumi Watanabe, Mikiko Sato, Masafumi Miwa, Makoto Imamura, Shintaro Hosoai, Nobuhiko Ogura, Hiroyuki Nakamura, Hisazumi Kenji

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

Abstract

This paper contributes to evaluation methods to learn the Internet of Things (IoT) system based on embedded software development. In the industry, different fields' engineers have much discussion, since they need to cover the broad knowledge for building one IoT system. The engineers need to have multidisciplinary abilities to collaborate in different fields. For learning such abilities, we should provide opportunities for students from different fields to work collaboratively. For the last 15 years, we have been organizing an education of a robot contest for learning IoT. One goal of this contest is to educate on multidisciplinary abilities. However, the contribution of this program has not been clarified. In a recent work, we briefly introduced an assessment map of multidisciplinary abilities based on the experiences acquired through the education. The map consists of (1) integration ability, (2) performing ability, and (3) cross-understanding ability. The novelty of this work is the evaluation of the education curriculum gained from the contests and its introductory seminars via the assessment map. This paper illustrates the map and evaluates the introductory seminar of the contest.

Original languageEnglish
Title of host publicationProceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018
EditorsMark J.W. Lee, Sasha Nikolic, Gary K.W. Wong, Jun Shen, Montserrat Ros, Leon C. U. Lei, Neelakantam Venkatarayalu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages995-1000
Number of pages6
ISBN (Electronic)9781538665220
DOIs
Publication statusPublished - Jan 16 2019
Event2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018 - Wollongong, Australia
Duration: Dec 4 2018Dec 7 2018

Publication series

NameProceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018

Conference

Conference2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018
CountryAustralia
CityWollongong
Period12/4/1812/7/18

All Science Journal Classification (ASJC) codes

  • Education
  • Artificial Intelligence
  • Computer Networks and Communications
  • Engineering (miscellaneous)

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  • Cite this

    Watanabe, H., Sato, M., Miwa, M., Imamura, M., Hosoai, S., Ogura, N., Nakamura, H., & Kenji, H. (2019). Assessment Map for Multidisciplinary Abilities for IoT System Development Education based on a Robot Contest. In M. J. W. Lee, S. Nikolic, G. K. W. Wong, J. Shen, M. Ros, L. C. U. Lei, & N. Venkatarayalu (Eds.), Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018 (pp. 995-1000). [8615388] (Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TALE.2018.8615388