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Research Based on OBE Concept About the Talent Training Mode of Industrial Engineering under the Background of Intelligent Manufacturing

Author(s)

Fuchun Xie 1, Hongyu Xie2,*, Zifeng Yang1

Affiliation(s)

1School of Mechanical Engineering, Hunan Institute of Engineering, Xiangtan, Hunan, China 2School of Information Science and Engineering, Hunan Institute of Engineering, Xiangtan, Hunan, China *Corresponding Author.

Abstract

With the rapid development of global Industry 4.0 and intelligent manufacturing, the traditional industrial engineering talent training model faces many challenges to meet emerging technologies and market demands. Therefore, this study aims to explore the training model of industrial engineering talents under the background of intelligent manufacturing based on the concept of results-oriented education (OBE), and strive to build an innovative talent training program that meets the needs of the industry. By integrating the OBE concept into the curriculum design, teaching methods and evaluation mechanism, through the implementation of the main measures of deepening the comprehensive reform of majors, strengthening the construction of teachers and grassroots teaching organizations, strengthening the construction of teachers and grassroots teaching organizations, enhancing the professional quality and comprehensive ability of students, and improving the teaching and scientific research ability of professional teachers, The quality and effect of teaching are guaranteed. It has explored and innovated the model of school-enterprise cooperation in the integration of production and education, practical teaching system and implementation path, and the quality and feedback mechanism of talent training, providing a new idea for the talent training model under the background of a new round of scientific and technological revolution.

Keywords

OBE Concept; Intelligent; Manufacturing; Industrial Engineering; Talent Cultivation Mode

References

[1] Gtting A, Behrend C, Kohlgrüber, Michael. Identifying Future Skills for the Digital Transformation in the Steel Industry: An Ecosystem Analysis in the German Rhein/Ruhr Area. Springer, Cham, 2024. DOI:10.1007/978-3-031-35479-3_13. [2] Kalaiselvi B, Sabarish R. Contribution by Supervised Learners on Outcome Based Education in Revised Education Policy using Machine Algorithms. Knowledge Transactions on, Applied Machine Learning, 2023. DOI:10.59567/ktaml.v1.03.03. [3] Zhang C. Reform of Hospitality English Teaching Based on the Educational Concept of Outcome-Based Education (OBE). Journal of Contemporary Educational Research, 2024, 8(1):58-64. [4] Cao Y, Lai J, Liu Y, et al. Implementation of Outcome-Based Education in the Accounting Program for Undergraduate Engineering Students. Creative Education, 2024, 15(6):15. DOI: 10.4236/ce.2024.156072. [5] Ke P, Zhao L, Liu B. Research on the application mode of information technology in the course of deepening design of assembled concrete structures using OBE-CDIO as a framework. Applied Mathematics and Nonlinear Sciences, 2024, 9(1). DOI:10.2478/amns-2024-3023. [6] Gang L, Wang H, Song X. Current Situation and Development of Outcome-Based Education in Computer Teaching. 2022 11th International Conference on Educational and Information Technology (ICEIT), 2022:36-39. DOI: 10.1109/ICEIT54416.2022.9690753. [7] Li C, Chu D, Li D. Research on Online and Offline Hybrid Teaching Mode under the Concept of OBE ——A Case Study for Software Engineering. Computer Education, 2022(12):124-129. [8] Dou Z, Wang Y, Li Z, et al. Blended Teaching for Signal and System Course Based on Internet-Engineering Education. Research Reports on Computer Science, 2023.DOI:10.37256/rrcs.2120232076. [9] Li H, Wu M, Wang Z, et al. Research on the Cultivation of Innovative Talents in Software Engineering Based on the OBE Concept. Computer education, 2023(12):86-93. [10] Dharanendra Y T, Kumaraswamy H S, Ashwini V, et al. IoT based smart manufacturing system - Case studies. MTT: Manufacturing Technology Today, 2019(6):18. [11] Yan J, Meng Y, Lu L, et al. Industrial Big Data in an Industry 4.0 Environment: Challenges, Schemes and Applications for Predictive Maintenance. IEEE Access, 2017:1-1. DOI: 10.1109/ACCESS.2017.2765544. [12] Meng X, Luo X. Additive Manufacturing and Its Application in Civil Engineering, Industrial Automation and Sustainability. Springer, Cham, 2023. DOI: 10.1007/978-3-031-10780-1_27. [13] Pulikottil Terrin; Estrada-Jimenez Luis A.; Ur Rehman Hamood Mo Fan Nikghadam-Hojjati Sanaz Barata Jose. Agent based manufacturing review and expert evaluation. The International Journal of Advanced Manufacturing Technology, 2023, 127(5-6):2151-2180. DOI: 10.1007/s00170-023-11517-8. [14] Onar S C, Ustundag A, Kadaifci I, et al. The Changing Role of Engineering Education in Industry 4.0 Era. 2018. DOI: 10.1007/978-3-319-57870-5_8. [15] Daun M, Grubb A M, Stenkova V, et al. A systematic literature review of requirements engineering education. Requirements Engineering, 2022:1-31. DOI: 10.1007/s00766-022-00381-9. [16] Goldman R, Schad A. Effective communication in high opposition project environments. INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 2023. DOI: 10.3397/nc_2023_0042. [17] Baratta A, Cimino A, Longo F, et al. Digital twin for human-robot collaboration enhancement in manufacturing systems: Literature review and direction for future developments. Computers & Industrial Engineering, 2024(Jan.):187. [18] Seraj M, Khan O, Khan M Z, et al. Analytical research of artificial intelligent models for machining industry under varying environmental strategies: An industry 4.0 approach. Sustainable Operations and Computers, 2022, 3:176-187. DOI: 10.1016/j.susoc.2022.01.006. [19] Mabi M. Custom-Trained Large Language Models as Open Educational Resources: An Exploratory Research of a Business Management Educational Chatbot in Croatia and Bosnia and Herzegovina. Sustainability, 2024, 16. DOI: 10.3390/su16124929. [20] Takriff M S, Abdullah S R S, Mohammad A B, et al. Students' feedback in the continuous quality improvement cycle of engineering education. Global Engineering Education Conference (EDUCON), 2011 IEEE. IEEE, 2011. DOI: 10.1109/EDUCON.2011.5773163.