Proceedings of the 3rd International Conference on Educational Development and Social Sciences (EDSS 2026)

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Construction and Application of an Intelligent Matching System for Vocational Education Internship Resources in the Context of Digital Transformation

Authors
Li Yu1, Xin Jiang1, *
1Wuhan Software Engineering Vocational College (Wuhan Open University), Wuhan, China
*Corresponding author. Email: jiangxingraph@whvcse.edu.cn
Corresponding Author
Xin Jiang
Available Online 1 May 2026.
DOI
10.2991/978-2-38476-569-0_2How to use a DOI?
Keywords
Digital Transformation; Vocational Education; Intelligent Matching; Resource Allocation Strategy; Industry-Education Integration
Abstract

Aiming at the issues of internship resource mismatch, low allocation efficiency, and delayed dynamic adjustment in vocational education, this paper constructs an intelligent internship resource matching system based on multi-dimensional data modeling and weight optimization algorithms, using a Kunpeng Industrial College in Wuhan as a case study. By integrating three core data types—job requirements in the Kunpeng ecosystem, student competencies, and resource characteristics—a resource allocation strategy is designed involving similarity calculation, weight assignment, constraint verification, and feedback iteration. This achieves precise matching among positions, students, and resources. Experimental results show a matching accuracy of 93.2% and a 40.5% improvement in resource utilization compared to manual allocation, effectively addressing the shortcomings of high subjectivity and poor adaptability in traditional models. This provides technical support and a practical paradigm for the digital transformation of internship teaching in the Kunpeng ecosystem and similar industrial colleges.

Copyright
© 2026 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 3rd International Conference on Educational Development and Social Sciences (EDSS 2026)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
1 May 2026
ISBN
978-2-38476-569-0
ISSN
2352-5398
DOI
10.2991/978-2-38476-569-0_2How to use a DOI?
Copyright
© 2026 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  - Li Yu
AU  - Xin Jiang
PY  - 2026
DA  - 2026/05/01
TI  - Construction and Application of an Intelligent Matching System for Vocational Education Internship Resources in the Context of Digital Transformation
BT  - Proceedings of the 3rd International Conference on Educational Development and Social Sciences (EDSS 2026)
PB  - Atlantis Press
SP  - 4
EP  - 11
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-569-0_2
DO  - 10.2991/978-2-38476-569-0_2
ID  - Yu2026
ER  -