Volume 8, Issue 2, September 2021, Pages 104 - 107
Proposal of Parameter Tuning Skills Evaluation by using Sensor Car Behavior Data in Technology Education
Authors
Teruyuki Tamai1, 2, *, Keita Murai1, Yoshihiro Ohnishi2, Kazuo Kawada1
1Graduate School of Humanities and Social Sciences, Hiroshima University, 1-1-1, Kagamiyama, Higashi-hiroshima, Hiroshima 739-8524, Japan
2Faculty of Education, Ehime University, 3, Bunkyo-cho, Matsuyama, Ehime 790-8577, Japan
*Corresponding author. Email: tamai.teruyuki.xq@ehime-u.ac.jp
Corresponding Author
Teruyuki Tamai
Received 6 December 2020, Accepted 11 May 2021, Available Online 23 July 2021.
- DOI
- 10.2991/jrnal.k.210713.007How to use a DOI?
- Keywords
- Junior High School; parameter tuning skill; quantitative evaluation
- Abstract
The “Future Investment Strategy 2018” presented by the Cabinet Office in 2018 states that there is an urgent need to develop human resources that can use Artificial Intelligence to achieve the goal of Society 5.0. As a part of this strategy, programming education at the primary/secondary level of education is being promoted. However, there are some issues in the quantitative evaluation of learning and teaching methods based on assessment. In this study, sensor car teaching materials were used to teach programming. Then, a new lesson is proposed to tune the optimal parameters by quantitative evaluation. The results of the university students practice of the proposed lesson are explained.
- Copyright
- © 2021 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - Teruyuki Tamai AU - Keita Murai AU - Yoshihiro Ohnishi AU - Kazuo Kawada PY - 2021 DA - 2021/07/23 TI - Proposal of Parameter Tuning Skills Evaluation by using Sensor Car Behavior Data in Technology Education JO - Journal of Robotics, Networking and Artificial Life SP - 104 EP - 107 VL - 8 IS - 2 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.210713.007 DO - 10.2991/jrnal.k.210713.007 ID - Tamai2021 ER -