The Reconstruction Logic and Implementation Strategies of the Modern Apprenticeship Curriculum System under the Background of Intelligent Manufacturing

Authors

  • Yunfei Liao

DOI:

https://doi.org/10.54691/22xmqb39

Keywords:

Intelligent manufacturing, modern apprenticeship, curriculum reconstruction, competency-based education, industry-education integration.

Abstract

In the context of rapid advancements in intelligent manufacturing, traditional apprenticeship systems are increasingly unable to meet the evolving skill requirements of the industry. This paper examines the logic behind the reconstruction of modern apprenticeship curriculum systems to align with the technological demands of intelligent manufacturing. It explores the limitations of conventional apprenticeship models, the role of technological advancements in curriculum development, and the strategies for implementing effective apprenticeship programs. Key areas of focus include the integration of industry and education, the adoption of competency-based training, and the importance of workplace learning. The paper proposes a flexible, lifelong learning approach to apprenticeship design, supported by strong industry-education partnerships and technological innovations. The findings aim to provide a framework for restructuring apprenticeship systems that can equip future workers with the necessary skills for intelligent manufacturing.

Downloads

Download data is not yet available.

References

[1] Rane N. ChatGPT and similar generative artificial intelligence (AI) for smart industry: role, challenges and opportunities for industry 4.0, industry 5.0 and society 5.0 [J]. Challenges and Opportunities for Industry, 2023,4.

[2] Odo M. Managerial techniques required of principals of technical and vocational colleges for quality assurance and skill acquisition [J]. Journal of Vocational Education Studies, 2023,6(1): 82-95.

[3] Deissinger T. The standing of dual apprenticeships in Germany: Institutional stability and current challenges[A]. In: The standing of vocational education and the occupations it serves: Current concerns and strategies for enhancing that standing: Springer, 2022: 83-101.

[4] Laundon M, McDonald P, Greentree J. How education and training systems can support a digitally-enabled workforce for the manufacturing industry of the future: an exploratory study [J]. Education+ Training, 2023,65(6/7): 909-922.

[5] Duan X, Zhu K, Wang X, et al. Reform of the training program of intelligent manufacturing engineering of universities in the steel industry [J]. Sustainability, 2023,15(5): 3952.

[6] Kim DB, Bajestani MS, Shao G, et al. Conceptual architecture of digital twin with human-in-the-loop-based smart manufacturing. In: ASME International Mechanical Engineering Congress and Exposition, Vol. 87608: American Society of Mechanical Engineers, 2023: V003T003A076.

Downloads

Published

2025-04-11

Issue

Section

Articles

How to Cite

Liao, Yunfei. 2025. “The Reconstruction Logic and Implementation Strategies of the Modern Apprenticeship Curriculum System under the Background of Intelligent Manufacturing”. Scientific Journal Of Humanities and Social Sciences 7 (4): 39-45. https://doi.org/10.54691/22xmqb39.