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

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New Method for Precise Ideological Education for "post-00" Students in The New Media Era based on Big Data

Authors
Rongbin Wen1, *, Weiqiang Wang2
1School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China
2Students Affairs Department of UESTC, University of Electronic Science and Technology of China, Chengdu, China
*Corresponding author. Email: 170735054@qq.com
Corresponding Author
Rongbin Wen
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-040-4_137How to use a DOI?
Keywords
new media era; "post-00" college students; big data mining analysis; digital space integration
Abstract

The diversification, fragmentation, openness, and complexity of information in the online society in the new media era are constantly impacting their values and even behavioural norms, which also brings new opportunities and challenges to education management and profoundly affects the change of education methods. Based on big data theory, we collect massive basic data generated by college students during their school years and carry out deep mining and correlation analysis to explore the behaviour pattern of college students' networked life and learning style and its multi-dimensional influencing factors, to provide personalized education services for teachers and students, promote students' personalized growth and make college students' management twice as effective with half the effort. In this paper, we will start from the four major needs of college students' education management, such as academic prediction, precise funding, precise guidance, and early warning of lost connection, and build an integrated education management platform in digital space for "post-00" college students to solve the problems of precise, effective and early warning education in the Internet era.

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
10.2991/978-94-6463-040-4_137
ISSN
2589-4900
DOI
10.2991/978-94-6463-040-4_137How 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  - Rongbin Wen
AU  - Weiqiang Wang
PY  - 2022
DA  - 2022/12/27
TI  - New Method for Precise Ideological Education for "post-00" Students in The New Media Era based on Big Data
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 909
EP  - 916
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_137
DO  - 10.2991/978-94-6463-040-4_137
ID  - Wen2022
ER  -