Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering

A Spiral-ADDIEE & R Industry-oriented Technology Course Development Model

Authors
K.C. Yao, W.T. Huang, C.L. Lin
Corresponding Author
K.C. Yao
Available Online July 2015.
DOI
10.2991/aiie-15.2015.163How to use a DOI?
Keywords
industry-oriented; course development; automatic; measurement; experimental class; assessment
Abstract

A spiral-ADDIEE&R model is introduced and utilized to develop, implement and evaluate an industry oriented technology course, automatic measurement technology. A process is built to develop teaching material and training device. The practical competence indicators for automatic measurement technology will be found using the Delphi questionnaire answered by industrial supervisors, engineers and university scholars. The teaching material contains 6 chapters and 27 sections for developing and a multi-functional automatic measurement platform that includes over 20 kinds of sensors and measurement devices, designed and constructed for student training use. An experimental class is given with assessment performed for examining the flaws in this course development process.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-70-7
ISSN
1951-6851
DOI
10.2991/aiie-15.2015.163How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - K.C. Yao
AU  - W.T. Huang
AU  - C.L. Lin
PY  - 2015/07
DA  - 2015/07
TI  - A Spiral-ADDIEE & R Industry-oriented Technology Course Development Model
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 613
EP  - 615
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.163
DO  - 10.2991/aiie-15.2015.163
ID  - Yao2015/07
ER  -