Proceedings of the 2018 2nd International Conference on Economic Development and Education Management (ICEDEM 2018)

Research on the Application of Data Mining in Teaching Based on Statistics

Authors
Juan Luo
Corresponding Author
Juan Luo
Available Online December 2018.
DOI
10.2991/icedem-18.2018.98How to use a DOI?
Keywords
Application; Data mining; Teaching; Statistics
Abstract

This paper briefly discusses the status quo of teaching evaluation in new undergraduate colleges, and uses the university teaching evaluation system as the data mining platform, and the university teacher evaluation data as the training set, focusing on the application research of data mining technology in college teaching evaluation system. The research shows that the data mining results enable teachers to find out the factors affecting the quality of teaching and the factors affecting the quality of students' learning, which plays a positive role in improving teachers' teaching methods and improving teaching quality. It has certain reference value for college teaching evaluation.

Copyright
© 2018, 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 2018 2nd International Conference on Economic Development and Education Management (ICEDEM 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2018
ISBN
978-94-6252-642-6
ISSN
2352-5398
DOI
10.2991/icedem-18.2018.98How to use a DOI?
Copyright
© 2018, 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  - Juan Luo
PY  - 2018/12
DA  - 2018/12
TI  - Research on the Application of Data Mining in Teaching Based on Statistics
BT  - Proceedings of the 2018 2nd International Conference on Economic Development and Education Management (ICEDEM 2018)
PB  - Atlantis Press
SP  - 391
EP  - 395
SN  - 2352-5398
UR  - https://doi.org/10.2991/icedem-18.2018.98
DO  - 10.2991/icedem-18.2018.98
ID  - Luo2018/12
ER  -