Construction and Practice of Automation Professional Courses for New Engineering Talents Driven by Industry and Empow-Ered by Digital Intelligence

Authors

  • Jiepeng Wang School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, 264005, China Author
  • Zhonghai Lin School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, 264005, China Author
  • Zhen Hua School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, 264005, China Author
  • Guangfen Wei School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, 264005, China Author
  • Huitian Du School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, 264005, China Author
  • Hangwen Qu School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, 264005, China Author

DOI:

https://doi.org/10.71222/em934j63

Keywords:

new engineering, industry-driven, automation, curriculum reform

Abstract

With the development of Industry 4.0 and intelligent manufacturing, automation professional education is undergoing significant transformation. The paper aims to explore the curriculum construction and practice of automation majors under the new engineering talent training model of “industry-driven and digital intelligence-empowered”. The important role of automation majors in new engineering education is elaborated; the design and optimization of the curriculum system is proposed based on the requirements of new engineering and industry needs; digital intelligence technology is applied to reform teaching, learning, and evaluation methods; by incorporating ethical and professional development education into the curriculum, the overall quality of automation professionals is enhanced, providing beneficial exploration for the cultivation of new engineering talents.

References

1. R. Pinto, M. Žilka, T. Zanoli, M. V. Kolesnikov, and G. Gonçalves, “Enabling professionals for industry 5.0: the self-made programme,” Procedia Comput. Sci., vol. 232, pp. 2911–2920, 2024, doi: 10.1016/j.procs.2024.02.107.

2. L. Ghosh and R. Ravichandran, “Emerging technologies in vocational education and training,” J. Digit. Learn. Educ., vol. 4, no. 1, pp. 41–49, 2024, doi: 10.52562/jdle.v4i1.975.

3. K. Kaur, J. Kaur, and R. Singh, “Re-engineering education and training: Fostering digitalization for sustainability,” in Digital Analytics Applications for Sustainable Training and Education, Apple Academic Press, 2024, pp. 191–209, ISBN: 9781032713366.

4. A. Adel, “The convergence of intelligent tutoring, robotics, and IoT in smart education for the transition from industry 4.0 to 5.0,” Smart Cities, vol. 7, no. 1, pp. 325–369, 2024, doi: 10.3390/smartcities7010014.

5. H. U. Rahiman and R. Kodikal, “Revolutionizing education: Artificial intelligence empowered learning in higher education,” Cogent Educ., vol. 11, no. 1, p. 2293431, 2024, doi: 10.1080/2331186X.2023.2293431.

Downloads

Published

16 March 2025

Issue

Vol. 3 (2025): 2025 2nd International Conference on the Frontiers of Social Sciences, Education, and the Development of Humanities Arts（EDHA 2025）

Section

Article

How to Cite

Construction and Practice of Automation Professional Courses for New Engineering Talents Driven by Industry and Empow-Ered by Digital Intelligence. (2025). GBP Proceedings Series, 3, 154-158. https://doi.org/10.71222/em934j63