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

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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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  -