Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)

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The Application of Data Mining Technology in the Evaluation of English Teaching

Authors
Huiyin Chen1, *, Sicheng Wang1
1Nanchang Vocational University, Jiangxi, Nanchang, 330500, China
*Corresponding author. Email: gyx84562@163.com
Corresponding Author
Huiyin Chen
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-058-9_51How to use a DOI?
Keywords
Data mining technology; English; teaching evaluation; big data
Abstract

The evaluation of teachers' teaching quality in colleges and universities can effectively improve the quality of teaching and regulate teaching behavior. This article has conducted an in-depth study of the current data mining technology, and analyzed the advantages and disadvantages of each data mining technology. This article constructs a scientific English teaching evaluation system, through this system, students can evaluate teachers' teaching behavior from multiple dimensions. This paper establishes a data mining system that can find valuable information that can improve teaching quality from a large amount of teaching-related data and a large number of students' evaluations of teachers, and pass this information to teachers. This system mainly regards teaching attitude, teaching content, and teaching methods as the main aspects of teaching evaluation, which reduces the attributes of mining libraries and improves the efficiency of mining. This system mainly uses decision tree algorithm to mine teaching information. First, the teaching evaluation decision tree is constructed, and then the decision tree is pruned, the corresponding rules are extracted, and the knowledge base is created.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
Series
Advances in Computer Science Research
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-058-9_51
ISSN
2352-538X
DOI
10.2991/978-94-6463-058-9_51How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Huiyin Chen
AU  - Sicheng Wang
PY  - 2022
DA  - 2022/12/27
TI  - The Application of Data Mining Technology in the Evaluation of English Teaching
BT  - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
PB  - Atlantis Press
SP  - 304
EP  - 308
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-058-9_51
DO  - 10.2991/978-94-6463-058-9_51
ID  - Chen2022
ER  -