Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)

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Strategies for Adjusting the Curriculum of Employment-Oriented Undergraduate Majors Based on Big Data Technology

Authors
Hejie Chen1, Linxiao Li1, *, Haiwen Wu1, *, Xueyan Liu2
1School of Economics and Management, Beijing Institute of Graphic Communication Beijing, Bejing, China
2School of Modern Posts, Chongqing University of Posts and Telecommunications, Chongqing, China
*Corresponding author. Email: 2682234770@qq.com
*Corresponding author. Email: 513812891@qq.com
Corresponding Authors
Linxiao Li, Haiwen Wu
Available Online 30 June 2023.
DOI
10.2991/978-94-6463-172-2_119How to use a DOI?
Keywords
Talent supply and demand; Employment-oriented undergraduate program; Big data analysis; Curriculum adjustment strategy
Abstract

The accelerated industrial restructuring affects the change of talent supply and demand. The universities and colleges are required the active adjustment of the employment-oriented undergraduate curriculum to enhance the competitiveness of talents. The paper answers the question of how to adjust the professional curriculum of employment-oriented undergraduate programs from the perspective of talent supply and demand. The paper uses the big data crawler technology to capture the job data of marketing majors in the Internet industry on Zhaopin. And it adopts SnowNLP and LDA to analyze the data. The results expressed that regions with developed Internet industries need more market oriented talents. Regional and urban factors affect the professional curriculum. When the professional curriculum is adjusted, the positioning of talents in the industry is clarified. Finally, the paper propose strategies for adjustment, which understand the trend of industrial structure adjustment, adjust the professional curriculum according to the sub-sector industry, precisely position the role of talents in the industry, and follow the principle of differentiated training.

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 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 June 2023
ISBN
10.2991/978-94-6463-172-2_119
ISSN
2589-4900
DOI
10.2991/978-94-6463-172-2_119How 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  - Hejie Chen
AU  - Linxiao Li
AU  - Haiwen Wu
AU  - Xueyan Liu
PY  - 2023
DA  - 2023/06/30
TI  - Strategies for Adjusting the Curriculum of Employment-Oriented Undergraduate Majors Based on Big Data Technology
BT  - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
PB  - Atlantis Press
SP  - 1134
EP  - 1142
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-172-2_119
DO  - 10.2991/978-94-6463-172-2_119
ID  - Chen2023
ER  -