Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)

Research and Implementation of Online English Education Learning Performance Prediction Under the Background of Big Data

Authors
Han Bao1, *
1English Department, Heilongjiang International University, Harbin, Heilongjiang, China
*Corresponding author. Email: Baohan19831204@163.com
Corresponding Author
Han Bao
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-044-2_11How to use a DOI?
Keywords
Education Data Mining; Online English Education; Big Data; Student Performance Prediction
Abstract

In the context of big data, mining and analyzing massive data resources in the education field is conducive to making correct decisions for education and teaching based on reference opinions and improving the quality of education. Online English education learning performance prediction is one of the most popular research problems in the field of educational data mining. Based on the background of big data, this article will launch the study of online English education learning performance prediction. This article first introduces the main functions of the online English education learning performance prediction system, then designs the key function modules of the learning performance prediction system, and discusses the learning performance prediction algorithm. This paper conducts experiments on the performance of the designed learning performance prediction system, and it is concluded that the highest accuracy rate of this system for learning performance prediction reaches 87.94%, and the highest accuracy rates of SVM algorithm and decision tree algorithm are 73.41% and 72.13%. This shows that the online English education learning performance prediction system has a high accuracy rate.

Copyright
© 2022 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 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-044-2_11
ISSN
2667-128X
DOI
10.2991/978-94-6463-044-2_11How to use a DOI?
Copyright
© 2022 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

TY  - CONF
AU  - Han Bao
PY  - 2022
DA  - 2022/12/27
TI  - Research and Implementation of Online English Education Learning Performance Prediction Under the Background of Big Data
BT  - Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)
PB  - Atlantis Press
SP  - 74
EP  - 82
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-044-2_11
DO  - 10.2991/978-94-6463-044-2_11
ID  - Bao2022
ER  -