Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)

Analysis of the New Model of Academic Education Management of College Students in the New Era Based on Data Mining Analysis

Authors
Shan Wu1, *
1Qingdao No. 5 middle school, Qingdao, 266071, Shandong, China
*Corresponding author. Email: wushan1997@yeah.net
Corresponding Author
Shan Wu
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-040-4_50How to use a DOI?
Keywords
Course evaluation; Association rules; Academic alert; Data-driven; Instructional management
Abstract

With the combination of the Internet and the education field, online learning has become the preferred choice for learners, and also provides the convenience for learners to watch anytime and anywhere, as well as to watch recorded lectures, without being restricted by location and time. Since the entire online learning process takes place online, this allows all the learning behavior data of students to be kept intact in the learning management system, providing a reliable source of data for studying early warning and teaching interventions for academic monitoring of students' online learning behavior. The most common method to establish an achievement early warning mechanism is to build a student achievement classifier, and common classifier models include decision tree, plain Bayesian, SVM, etc. In this paper, we propose a genetic algorithm optimized BP neural network for grade prediction after analyzing the above three classification models, which can fully consider the joint action between multiple features. Based on the BP neural network, the optimized BP network model using genetic algorithm can improve the generalization ability of the model, and the optimized BP neural network is used to solve the joint action of multiple features, which further improves the detection accuracy and precision.

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 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
978-94-6463-040-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-040-4_50How 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

TY  - CONF
AU  - Shan Wu
PY  - 2022
DA  - 2022/12/27
TI  - Analysis of the New Model of Academic Education Management of College Students in the New Era Based on Data Mining Analysis
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 329
EP  - 334
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_50
DO  - 10.2991/978-94-6463-040-4_50
ID  - Wu2022
ER  -