Research on the Competency Cultivation System for Top Innovative Talents in the Intelligent Manufacturing Field
1. School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China
2. Undergraduate School, Wuhan University of Technology, Wuhan 430070, China
| Abstract: | In the context of the new round of scientific and technological revolution and industrial transformation, intelligent manufacturing has become a key factor in global manufacturing competition. However, China is experiencing a severe shortage of talent in this field, particularly among those with interdisciplinary knowledge, outstanding engineering skills and disruptive innovative thinking. This paper aims to systematically explore the theoretical and practical pathways for cultivating such talent. Firstly, it analyses the key challenges currently faced in talent development with regard to knowledge structure, training models, industry-education integration, and evaluation mechanisms. Secondly, it elaborates on the urgency and strategic importance of cultivating such talent in three areas: national strategic security, industrial transformation and upgrading, and international technological competition. Building on this, the paper proposes a comprehensive talent cultivation framework comprising four pillars: 'Cultivation Mechanism-Experimental Teaching and Management System-Evaluation System-Safeguard Measures'. Notably, the paper innovatively proposes an experimental teaching and management system oriented towards deep industry-education integration. This system employs real industrial cases and implements whole-process refined management, serving as a key bridge connecting theory and industry. The system emphasises the 'Four Modernisations' goal for laboratory construction and the 'Whole-Process Refinement' model for teaching management, with the aim of substantially enhancing students' innovation and practical capabilities. The aim of this research is intended to provide a theoretical reference and practical guidance for deepening the reform of engineering education in China, as well as for the construction of a new talent cultivation paradigm that meets the future development needs of intelligent manufacturing. |
| Keywords: | Intelligent Manufacturing; Top Innovative Talents; Competency Cultivation; Industry-Education Integration; Experimental Teaching Management; Comprehensive Evaluation |
| DOI: | 10.57237/j.jeit.2026.01.002 |
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Received: 14 December 2025
Accepted: 14 January 2026
Published Online: 27 January 2026
References
| [1] | Magome T. The front line of A.I. Artificial Intelligence in a medical field -whether medicine changes by A.I. [J]. Journal of Integrated Management for Risk and Crisis, 2020, 4: 3-18. https://doi.org/10.34402/simric.4.0_3 |
| [2] | Zhang S, He H, Yang X. Human-centric proactive integrated design paradigm of intelligent manufacturing system towards Industry 5.0 [J]. Journal of Manufacturing Systems, 2025, 83(000): 65-81. https://doi.org/10.1016/j.jmsy.2025.09.002 |
| [3] | Chowdary K V V S R, Kumar K, Nayak B. A comprehensive examination of shielding and core influence through finite element analysis for the dynamic wireless charging magnetic coupler [J]. e-Prime - Advances In Electrical Engineering, Electronics And Energy, 2024, 7(000). https://doi.org/10.1016/j.prime.2024.100462 |
| [4] | Yuanbin L I. Organizational paradigm change: Exploration and reflection on the construction of philosophy and social science laboratories in universities [J]. Experimental Technology & Management, 2024, 41(3). https://doi.org/10.16791/j.cnki.sjg.2024.03.037. |
| [5] | Zhang L, Li K, Chu C, et al. Investment and remanufacturing strategies considering the application of intelligent manufacturing in hybrid manufacturing-remanufacturing systems [J]. Expert Systems with Applications, 2024, 257(000): 21. https://doi.org/10.1016/j.eswa.2024.124991 |
| [6] | Kenfield M R, Tannenbaum A P, Hess A S R W N. Fundamentals of blood banking in anesthesiology: A problem-based learning simulation session as an addition to a novel curriculum of transfusion medicine education for anesthesiology residents [J]. academic pathology, 2023, 10(3). https://doi.org/10.1016/j.acpath.2023.100089 |
| [7] | Sherman B. Unraveling the EFL expat: challenging privilege through borderlands and Asia as Method [J]. Asia Pacific Education Review, 2023, 24(2): 12. https://doi.org/10.1007/s12564-022-09790-5 |
| [8] | Edna Milena Sarmiento-Márquez, Prieto L P, Poom K, et al. Monitoring and Evaluating School-University Partnerships: Insights from the Usability Assessment and Refinement of a Conceptual Framework [J]. Social Sciences & Humanities Open, 2024. https://doi.org/10.2139/ssrn.4781252 |
| [9] | Li K W. Fostering Students' Statistical Thinking through Data Modelling [J]. Mathematics Education Research and Practice, 2023, 26(3): 127-146. https://doi.org/10.7468/jksmed.2023.26.3.127 |
| [10] | Singh J. Cost-Efficient Secure Hybrid RAG Assessment [J]. Advances in Machine Learning & Artificial Intelligence, 2025. https://doi.org/10.36227/techrxiv.173152556.61823435/v4 |
| [11] | Li X, Zhou T, Cao S. Digital transformation, supply chain collaboration, and corporate innovation boundaries [J]. International Review of Economics & Finance, 2025, 104(000). https://doi.org/10.1016/j.iref.2025.104628 |
| [12] | Wang Z L, Yan-Ru W U, Shi X F. Top-notch Does Not Equate to Innovation——Exploring Misconceptions and Crack Solutions in Cultivating Top-notch Innovative Talents [J]. Modern Educational Technology, 2024, 34(12): 5-16. https://doi.org/10.3969/j.issn.1009-8097.2024.12.001 |
| [13] | Bhandarkar V V, Kumar A, Tandon P. Warpage detection in 3D printing of polymer parts: a deep learning approach [J]. Journal of Intelligent Manufacturing, 2025, 36(5). https://doi.org/10.1007/s10845-024-02414-2 |
| [14] | Basei M, Ferrari G, Rodosthenous N. Uncertainty over uncertainty in environmental policy adoption: Bayesian learning of unpredictable socioeconomic costs [J]. Journal of Economic Dynamics and Control, 2024, 161. https://doi.org/10.1016/j.jedc.2024.104841 |
| [15] | Yan Y U, Kanghua L I, Guoyi Y U, et al. Integrated modular design and practice of semiconductor physics experiment teaching [J]. Experimental Technology and Management, 2025, 42(10): 169-176. https://doi.org/10.16791/j.cnki.sjg.2025.10.021 |
| [16] | Xu W, Chen R, Zhang L, et al. Reform and Practice of the Teaching System of Combining Virtual and Real Teaching in the Experimental Course of "Asphalt and Asphalt Mixture" [J]. Advances in Transdisciplinary Engineering, 2024. https://doi.org/10.3233/atde231376 |
| [17] | Caudill D W, Slater P J. Content analysis and ranking model of research related to qualities of excellent college teaching: Implications for business educators [J]. Journal of Education for Business, 2024, 99(4): 213-222. https://doi.org/10.1080/08832323.2023.2299430 |
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