Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)

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Analysis of Vocational Education Management Data Based on Immune RBF Network Model

Authors
Kun Yang1, *, Hongping Zeng1
1Nanchong Vocational College of Science and Technology, Nanchong, 637000, Sichuan, China
*Corresponding author. Email: yangk230@126.com
Corresponding Author
Kun Yang
Available Online 4 September 2023.
DOI
10.2991/978-94-6463-230-9_106How to use a DOI?
Keywords
data management; Artificial immunity; RBF network; vocational education
Abstract

In order to solve the problem that teachers cannot communicate with students “face to face” in the process of online open course teaching, so they cannot intuitively grasp the students’ learning situation. An analysis method of vocational education management data based on immune RBF network model is proposed. In this paper, the immune RBF network is used to establish a student learning data management model. After the online user data is modelled, the model can be used to predict the attention of corresponding students, so as to help teachers develop targeted teaching plans and improve the teaching effect of online courses. Through the verification of actual teaching data, the evaluation system of the data management model proposed in this paper is objective and scientific, and the prediction accuracy rate can reach more than 80%. By using the student data management model proposed in this paper, teachers can carry out teaching according to the characteristics of students, and achieve teaching according to their aptitude in a real sense, which is of great significance to teaching reform and teaching effect.

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 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
4 September 2023
ISBN
10.2991/978-94-6463-230-9_106
ISSN
2667-128X
DOI
10.2991/978-94-6463-230-9_106How 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  - Kun Yang
AU  - Hongping Zeng
PY  - 2023
DA  - 2023/09/04
TI  - Analysis of Vocational Education Management Data Based on Immune RBF Network Model
BT  - Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)
PB  - Atlantis Press
SP  - 877
EP  - 881
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-230-9_106
DO  - 10.2991/978-94-6463-230-9_106
ID  - Yang2023
ER  -