Proceedings of the 2015 International Conference on Mechanical Science and Engineering

Study on Application of Fuzzy Theory and Principal Component Analysis in Teaching Evaluation

Authors
Hongfu Ai, Ying Shi
Corresponding Author
Hongfu Ai
Available Online March 2016.
DOI
10.2991/mse-15.2016.28How to use a DOI?
Keywords
big data; data mining; teaching evaluation
Abstract

In the era of Big Data, according to the characteristics of basic computer courses, the author reasonably applied education data generated in the process of teaching. And the author made an in-depth analysis of the data collected by using the fuzzy theory and principal component. It provides a scientific basis for decision making to improve basic computer education, and improves the quality of teaching basic computer. This study reflects data can drive decision and revolutionize education too.

Copyright
© 2016, 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 Mechanical Science and Engineering
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-172-8
ISSN
2352-5401
DOI
10.2991/mse-15.2016.28How to use a DOI?
Copyright
© 2016, 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  - Hongfu Ai
AU  - Ying Shi
PY  - 2016/03
DA  - 2016/03
TI  - Study on Application of Fuzzy Theory and Principal Component Analysis in Teaching Evaluation
BT  - Proceedings of the 2015 International Conference on Mechanical Science and Engineering
PB  - Atlantis Press
SP  - 161
EP  - 164
SN  - 2352-5401
UR  - https://doi.org/10.2991/mse-15.2016.28
DO  - 10.2991/mse-15.2016.28
ID  - Ai2016/03
ER  -