Journal of Robotics, Networking and Artificial Life

Volume 7, Issue 4, March 2021, Pages 262 - 265

Comparison of the Questionnaires Before and After the Experiment

Authors
Yugo Tokura, Takao Sato*, Ryota Yasui, Natsuki Kawaguchi, Nozomu Araki, Yasuo Konishi
Graduate School of Engineering, University of Hyogo, 2167, Shosha, Himeji, Hyogo 671-2280, Japan
*Corresponding author. Email: tsato@eng.u-hyogo.ac.jp
Corresponding Author
Takao Sato
Received 9 November 2019, Accepted 16 October 2020, Available Online 28 December 2020.
DOI
https://doi.org/10.2991/jrnal.k.201215.011How to use a DOI?
Keywords
Control education, evaluation, feedforward, feedback, proportional, gain
Abstract

The aim of the present study is to improve the understanding of the control engineering for university students through the experience of the control experiment, and hence an experimental device is developed. The students are educated the control engineering using the device, and the educational effect is evaluated. In the present study, the students take examinations for the control engineering before and after the experiment, and the effect is evaluated objectively.

Copyright
© 2020 The Authors. Published by Atlantis Press 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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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
7 - 4
Pages
262 - 265
Publication Date
2020/12/28
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
https://doi.org/10.2991/jrnal.k.201215.011How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press 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/).

Cite this article

TY  - JOUR
AU  - Yugo Tokura
AU  - Takao Sato
AU  - Ryota Yasui
AU  - Natsuki Kawaguchi
AU  - Nozomu Araki
AU  - Yasuo Konishi
PY  - 2020
DA  - 2020/12/28
TI  - Comparison of the Questionnaires Before and After the Experiment
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 262
EP  - 265
VL  - 7
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.k.201215.011
DO  - https://doi.org/10.2991/jrnal.k.201215.011
ID  - Tokura2020
ER  -