Journal of Robotics, Networking and Artificial Life

Volume 5, Issue 3, December 2018, Pages 180 - 183

Control Performance Assessment Method as Assessment of Programming Learning Achievement

Authors
Yoshihiro Ohnishi*
Faculty of Education, Ehime University, Ehime 790-8577, Japan
Corresponding Author
Yoshihiro Ohnishi
Received 25 May 2018, Accepted 20 October 2018, Available Online 1 December 2018.
DOI
10.2991/jrnal.2018.5.3.8How to use a DOI?
Keywords
Programming learning; control performance assessment; minimum variance; learning achievement
Abstract

It is an important problem how to estimate the learning achievement of the programming learning. However, the quantitative evaluation method according to learning achievement is difficult. On the other hand, “work” of a control program influences the control performance of the plant by the petrochemical industry, and to have an influence on the operation cost. Improvement of a program and am planning for productivity improvement are suggested by evaluating the control performance quantitatively. This research considers the using control performance assessment method for the achievement value of the programming learning.

Copyright
© 2018 The Author. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
5 - 3
Pages
180 - 183
Publication Date
2018/12/01
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.2018.5.3.8How to use a DOI?
Copyright
© 2018 The Author. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Yoshihiro Ohnishi
PY  - 2018
DA  - 2018/12/01
TI  - Control Performance Assessment Method as Assessment of Programming Learning Achievement
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 180
EP  - 183
VL  - 5
IS  - 3
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2018.5.3.8
DO  - 10.2991/jrnal.2018.5.3.8
ID  - Ohnishi2018
ER  -