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: [email protected]
Corresponding Author
Kazuo Kawada
Received 8 November 2018, Accepted 14 December 2018, Available Online 18
December 2019.
DOI
https://doi.org/10.2991/jrnal.k.191203.003
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 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/).