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: [email protected]
Corresponding Author
Teruyuki Tamai
Received 6 December 2020, Accepted 11 May 2021, Available Online 23 July 2021.
DOI
https://doi.org/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 ALife Robotics Corp. Ltd
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/).