Effectiveness of Experiential Learning for Keeping Knowledge Retention in IoT Security Education

Yoshitatsu Ban, Koji Okamura, Kosuke Kaneko

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

3 被引用数 (Scopus)

抄録

This paper provides an experimental result showing learning effectiveness of experiential learning for cyber security education by comparing with non-experiential learning. The experiential learning, the experimental group in this research, took two lecture styles. One was a classroom-styled lecture that a lecturer teaches basic knowledge of cyber security to learners. The other one was practical exercises that learners made groups and experientially implemented their products with security protection. The non-experiential learning, the control group in this research, took an e-learning-styled lecture using a video educational material containing the same contents of the classroom-styled lecture in the experimental group but the contents about any practical exercise were removed. The learning effectiveness of the two learning groups were evaluated by comparing several metrics of pre-/post-test scores and delayed-test scores. The evaluation result indicates that learners who took the experiential learning could keep retaining knowledge they learned than learner who took the non-experiential learning.

本文言語英語
ホスト出版物のタイトルProceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017
編集者Kiyota Hashimoto, Naoki Fukuta, Tokuro Matsuo, Sachio Hirokawa, Masao Mori, Masao Mori
出版社Institute of Electrical and Electronics Engineers Inc.
ページ699-704
ページ数6
ISBN(電子版)9781538606216
DOI
出版ステータス出版済み - 11 15 2017
イベント6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017 - Hamamatsu, Shizuoka, 日本
継続期間: 7 9 2017 → …

出版物シリーズ

名前Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017

その他

その他6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017
Country日本
CityHamamatsu, Shizuoka
Period7/9/17 → …

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management

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