Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022)

Research on Educational Innovation of Retired College Students Based on Big Data Analysis

Authors
Zhongyi Tao1, Zhiyou Zou1, *, Yanli Chen2, Dongmei Shi1
1Guilin University of Technology, Guilin, China
2Hubei University of Arts and Science, Xiangyang, China
*Corresponding author. Email: zhiyou2019@qq.com
Corresponding Author
Zhiyou Zou
Available Online 9 December 2022.
DOI
10.2991/978-94-6463-012-1_71How to use a DOI?
Keywords
Retired College Students; National Defense Education; Information Management; Big Data Analysis; Colleges and Universities
Abstract

At present, retired college students have become a special group of college students. With the strengthening of military recruitment in Colleges and universities, college students’ soldiers are increasing year by year. Facing the new tasks and requirements put forward in the new era, the education of retired college students should constantly explore new ideas, new paths and new methods to further enhance the pertinence and effectiveness of the work, to meet the needs of retired college students to grow into talents and the development needs of the party and the country. At present, with the rapid development, comprehensive integration and wide application of the new generation of network information technology represented by mobile Internet, Internet of things, cloud computing and artificial intelligence, mankind has gradually entered the “big data era” of large-scale data mining, application and innovation. Combined with the intelligent system, this paper strengthens the cross analysis of data, uses the network system to carry out the whole process investigation, and fully understands the characteristics and laws of retired college students in the new era. The results show that the scale of retired college students is gradually increasing, facing difficulties such as learning difficulties, high employment pressure and complex interpersonal relationships. It is proposed to integrate into national defense education, carry out military activities Strengthening ideological and political education and other measures and methods can further standardize management and improve the sense of mission, responsibility and belonging of retired college students.

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 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
9 December 2022
ISBN
10.2991/978-94-6463-012-1_71
ISSN
2667-128X
DOI
10.2991/978-94-6463-012-1_71How 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  - Zhongyi Tao
AU  - Zhiyou Zou
AU  - Yanli Chen
AU  - Dongmei Shi
PY  - 2022
DA  - 2022/12/09
TI  - Research on Educational Innovation of Retired College Students Based on Big Data Analysis
BT  - Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022)
PB  - Atlantis Press
SP  - 651
EP  - 662
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-012-1_71
DO  - 10.2991/978-94-6463-012-1_71
ID  - Tao2022
ER  -