Volume 6, Issue 3, December 2019, Pages 191 - 194
Skill Model Estimation of Ability for Reading Drawings
Authors
Kazuo Kawada1, *, Teruyuki Tamai2, Yoshihiro Ohnishi2
1Department of Technology and Information Education, 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: kawada@hiroshima-u.ac.jp
Corresponding Author
Kazuo Kawada
Received 8 November 2018, Accepted 14 December 2018, Available Online 18 December 2019.
- DOI
- 10.2991/jrnal.k.191203.003How to use a DOI?
- Keywords
- Skill model estimation; reading drawings; time-series data analysis; 3D recognition; power function; learning curve
- Abstract
In Japan, students study various ways of understanding 3D drawings in junior high school-level technical education, high school-level industrial education, and university-level engineering education. However, without an understanding of trigonometry, reading the drawings is difficult. Moreover, drawing the assembly parts is equally difficult. To address these concerns, many research studies have been conducted. These examinations have used before–after analysis, but none has used time-series data analysis. Therefore, this study aims to develop a new quantitative evaluation method of 3D recognition ability through the use of time-series analysis.
- Copyright
- © 2019 The Authors. Published by Atlantis Press SARL.
- 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 - Kazuo Kawada AU - Teruyuki Tamai AU - Yoshihiro Ohnishi PY - 2019 DA - 2019/12/18 TI - Skill Model Estimation of Ability for Reading Drawings JO - Journal of Robotics, Networking and Artificial Life SP - 191 EP - 194 VL - 6 IS - 3 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.191203.003 DO - 10.2991/jrnal.k.191203.003 ID - Kawada2019 ER -