The Dilemma of Fitness of Higher Vocational Education Specialty Settings and Regional Industrial Structure and the Path of Governance: An Empirical Study Based on Beijing Municipality

DOI

10.2991/978-94-6239-630-2_28How to use a DOI?

Keywords

Higher vocational education; specialty setting; industrial structure; collaborative governance; data-driven decision making; computational social science; AI in education; predictive analytics; smart governance

Abstract

The precision of alignment between vocational education output and industrial needs is an important driver of regional economic development and a benchmark for modernized governance. In this paper we apply computational social science methods using big data analytics, machine learning and agent-based modeling to investigate the structural fitness between specialty offerings in Beijing HVE institutions and its emerging innovation-driven economy. We propose and implement a computational 3D diagnostic model (Deviation-Duplication-Aggregation) to evaluate 894 specialty offering points. Our multi-method analysis revealed a persistent “macro-convergence but micro-imbalance” paradox. While aggregate specialty distribution mirrors Beijing’s service-dominated GDP, severe mismatch exists: critical undersupply for strategic high-precision and future industries and large oversupply and homogenization in saturated service majors. These mismatches are due to systemic failures in information flow, resource allocation, and collaboration incentives. We constructed a closed-loop smart governance framework centered on an AI-augmented data platform for precision navigation, supported by institutionalized multi-stakeholder synergy, strategic differentiation guided by institutional typologies, and dynamic evaluation-accountability system. This paper shows how computational methods and intelligent systems can be used to diagnose complex policy challenges and design proactive evidence-based governance mechanisms for education-industry co-evolution.

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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TY  - CONF
AU  - Dan Sun
AU  - Haijian Zhang
PY  - 2026
DA  - 2026/04/23
TI  - The Dilemma of Fitness of Higher Vocational Education Specialty Settings and Regional Industrial Structure and the Path of Governance: An Empirical Study Based on Beijing Municipality
BT  - Proceedings of the 2025 International Conference on Educational Technology and Management Information Systems (ETMIS 2025)
PB  - Atlantis Press
SP  - 283
EP  - 294
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-630-2_28
DO  - 10.2991/978-94-6239-630-2_28
ID  - Sun2026
ER  -