Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026)

A Five-Dimensional Identification Framework for Higher Vocational Entrepreneurship Education

A Framework for Higher Vocational Entrepreneurship Education

Authors
Xiaomi Zhong1, *, Luyao Wang1
1School of Digital Intelligence Business, Liaoning Economic Management Cadre College, Shenyang, China
*Corresponding author. Email: xiaomzhong@outlook.com
Corresponding Author
Xiaomi Zhong
Available Online 28 May 2026.
DOI
10.2991/978-94-6239-689-0_26How to use a DOI?
Keywords
Five-dimensional identification framework; Rural revitalization; Higher vocational education; Entrepreneurial talent cultivation
Abstract

The comprehensive rural revitalization strategy is accelerating the development of advanced entrepreneurial talent through higher vocational education. However, current efforts remain misaligned with the actual needs of rural industrial development. Drawing on domestic and international research on entrepreneurship education models, this paper analyzes existing provisions and rural talent requirements, introducing a Five-Dimensional Identification framework. This framework encompasses rural entrepreneurial mindset, opportunity, business environment, resource, and behavioral identification, with a tripartite indicator system and an evaluation protocol. Validated through curriculum redesign, platform development, and ecosystem building in Tieling, Liaoning Province, this study contributes a validated measurement framework and provides data-driven insights for designing personalized interventions in rural entrepreneurship education, while acknowledging the methodological limitations inherent in the single-group design. It benefits both to theoretical understanding and practical approaches for aligning vocational training with the imperatives of rural revitalization.

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 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026)
Series
Advances in Economics, Business and Management Research
Publication Date
28 May 2026
ISBN
978-94-6239-689-0
ISSN
2352-5428
DOI
10.2991/978-94-6239-689-0_26How 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

TY  - CONF
AU  - Xiaomi Zhong
AU  - Luyao Wang
PY  - 2026
DA  - 2026/05/28
TI  - A Five-Dimensional Identification Framework for Higher Vocational Entrepreneurship Education
BT  - Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026)
PB  - Atlantis Press
SP  - 278
EP  - 294
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-689-0_26
DO  - 10.2991/978-94-6239-689-0_26
ID  - Zhong2026
ER  -