Proceedings of the 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024）

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Research on the Regional Industrial Adaptability of Vocational Education in Zhuzhou City Based on Big Data Analysis

Authors
Ruirui Zou1, Qian Liu1, *
1Hunan Automotive Engineering Vocational College, Research Department, Zhuzhou, 412000, China
*Corresponding author. Email: kilater@yeah.net
Corresponding Author
Qian Liu
Available Online 31 August 2024.
DOI
10.2991/978-94-6463-502-7_85How to use a DOI?
Keywords
Vocational Education; Adaptability; Big Data Analysis; Regional Industrial
Abstract

This paper explores the regional industrial adaptability of vocational education in Zhuzhou City using big data analysis. By collecting and organizing data on curriculum offerings, student employment status, and industrial development from vocational institutions, combined with the development trends of Zhuzhou City's main industries, a comprehensive analysis was conducted. During the data analysis process, association rule mining was used to analyze the relationship between curriculum offerings and industrial demands. Cluster analysis was employed to segment different student groups based on their employment tendencies, and predictive analysis was utilized to explore future trends in industrial development. The study revealed that the curriculum offerings of the vocational institution exhibit a certain degree of alignment with the development of Zhuzhou City's main industries, but there are still areas for improvement.

Copyright
© 2024 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 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024）
Series
Atlantis Highlights in Computer Sciences
Publication Date
31 August 2024
ISBN
978-94-6463-502-7
ISSN
2589-4900
DOI
10.2991/978-94-6463-502-7_85How to use a DOI?
Copyright
© 2024 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  - Ruirui Zou
AU  - Qian Liu
PY  - 2024
DA  - 2024/08/31
TI  - Research on the Regional Industrial Adaptability of Vocational Education in Zhuzhou City Based on Big Data Analysis
BT  - Proceedings of the 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024）
PB  - Atlantis Press
SP  - 804
EP  - 810
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-502-7_85
DO  - 10.2991/978-94-6463-502-7_85
ID  - Zou2024
ER  -