Proceedings of the 2024 Seminar on Educational Technology and Management Information Systems (ETMIS 2024)

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Exploring the Path of Artificial Intelligence-Enabled Precision Employment Service Model in Colleges and Universities

Authors
Jing Zhang1, Wenchuan Wu2, *, Wei Liu1, Chenxi Jiang2
1Student Affairs Department, Northwestern Polytechnical University, Xi’an, China
2School of Marxism, Northwestern Polytechnical University, Xi’an, China
*Corresponding author. Email: johnwwc@nwpu.edu.cn
Corresponding Author
Wenchuan Wu
Available Online 17 March 2025.
DOI
10.2991/978-94-6463-674-1_20How to use a DOI?
Keywords
Artificial Intelligence; Precision Employment; Path; Digitization of Education
Abstract

In recent years, the increasing number of individuals awaiting employment has made graduate employment one of the key issues affecting livelihoods. The advancement of artificial intelligence technology - an important driving force behind the latest wave of technological revolution - has led to the intelligentization of various applications, significantly influencing the digitalization of education. This intelligence-enabled digitalization improves educational efficiency, optimizes resource allocation, and improves quality, while also offering a novel path to implementing precision employment strategies in colleges and universities. This paper is aims to analyze the adaptation mechanism between artificial intelligence technology and precision employment service models through reviewing the challenges and issues faced by graduates in precision employment. The findings will provide a valuable framework for leveraging artificial intelligence technology to facilitate precision employment in colleges and universities.

Copyright
© 2025 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 2024 Seminar on Educational Technology and Management Information Systems (ETMIS 2024)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
17 March 2025
ISBN
978-94-6463-674-1
ISSN
2352-5398
DOI
10.2991/978-94-6463-674-1_20How to use a DOI?
Copyright
© 2025 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  - Jing Zhang
AU  - Wenchuan Wu
AU  - Wei Liu
AU  - Chenxi Jiang
PY  - 2025
DA  - 2025/03/17
TI  - Exploring the Path of Artificial Intelligence-Enabled Precision Employment Service Model in Colleges and Universities
BT  - Proceedings of the 2024 Seminar on Educational Technology and Management Information Systems (ETMIS 2024)
PB  - Atlantis Press
SP  - 178
EP  - 186
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-94-6463-674-1_20
DO  - 10.2991/978-94-6463-674-1_20
ID  - Zhang2025
ER  -