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Teaching Model and Organizational Strategy of Graduate Courses in Intelligent Manufacturing

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DOI: 10.23977/curtm.2024.070414 | Downloads: 5 | Views: 88

Author(s)

Xing Li 1,2, Fujie Wang 3

Affiliation(s)

1 School of Electrical Engineering & Intelligentization, Dongguan University of Technology, Dongguan, Guangdong, 523808, China
2 Dongguan Key Lab of Artificial Information Network, Dongguan University of Technology, Dongguan, Guangdong, 523808, China
3 Elite Engineers College (Innovation Entrepreneurship College), Dongguan University of Technology, Dongguan, Guangdong, 523808, China

Corresponding Author

Xing Li

ABSTRACT

With the rapid development of the field of intelligent manufacturing, the teaching mode and organizational strategy of graduate courses also need to be updated accordingly to adapt to new technology and market demands. This article analyzed the existing problems and explored improvement strategies and methods through the study of the current graduate education model in the field of intelligent manufacturing. After adopting the teaching mode and organizational strategy of graduate courses in intelligent manufacturing, the average score of students increased from 70 points at the beginning of the course to 87 points at the end. After the implementation of the course, students have shown good performance in project application and innovation. In the team collaboration ability experiment, the average scores for communication efficiency, role allocation, and conflict resolution were 33 points, 25 points, and 22 points, respectively. After adopting teaching modes and organizational strategies, the performance of teachers also received the highest evaluation. These experimental evaluation results comprehensively reflected the effectiveness of teaching strategies and potential room for improvement.

KEYWORDS

Intelligent Manufacturing Education, Graduate Courses, Teaching Mode, Team Collaboration

CITE THIS PAPER

Xing Li, Fujie Wang, Teaching Model and Organizational Strategy of Graduate Courses in Intelligent Manufacturing. Curriculum and Teaching Methodology (2024) Vol. 7: 90-97. DOI: http://dx.doi.org/10.23977/curtm.2024.070414.

REFERENCES

[1] Bai Zhanjun, Si Junyong, Fu Yonghua. Research on Multimodal Emotional Computing for Learners in VR Teaching. Henan Science and Technology, 2023, 42 (12): 35-42.
[2] Chen Zheng, Qin Menghe. Exploring the Characteristics and Application Models of VR Teaching. Computer Knowledge and Technology: Academic Edition, 2021, 17 (35): 99-101.
[3] Randles S, Dewick P, Rietbergen M,et al. Applying enquiry and problem based learning to mission-oriented innovation policy: from policy to pedagogy to teaching and learning practice. Journal of International Education in Business, 2022, 15(1):52-73.
[4] Verdun V R, Chiasson B A, Fienup D M.At the Intersection of Derived Relations and Observational Learning: Teaching Fraction–Percentage Relations. Journal of Behavioral Education, 2020, 29(4):741-762.
[5] Maskati E, Alkeraiem F, Khalil N,et al.Using Virtual Reality (VR) in Teaching Students with Dyslexia. International Journal of Emerging Technologies in Learning (iJET), 2021, 16(9):291-301.
[6] Holly M, Pirker J, Resch S,et al. Designing VR Experiences -Expectations for Teaching and Learning in VR. Educational Technology & Society, 2021, 24(2):107-119.
[7] Li Yuanbo, Wang Mengyu, Yin Kaida, et al. The theoretical logic, operational mechanism, and implementation path of project-based teaching method for ideological and political courses in universities. Higher Education in Coal, 2023, 41 (3): 115-121.
[8] Yong L. Exploration and Practice of "Embedded System" Engineering Teaching Mode Based on CDIO Engineering Education Mode. International Education Studies, 2020, 13(6):146-153.
[9] Szab I. Teaching methods matched with TEL tools to improve higher education within AduLeT project. E-methodology, 2020, 6(6):119-127.
[10] Liu Liru, Liu Lin, Zheng Ruiyun, et al. Exploration of Professional Design and Curriculum Optimization for Environmental Protection Majors Based on Project Driven Teaching Method. Refrigeration and Air Conditioning, 2020, 020 (010): 10-13.
[11] Oluyisola O E, Bhalla S, Sgarbossa F, et al. Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study. Journal of Intelligent Manufacturing, 2022, 33(1): 311-332.
[12] Marcon É, Soliman M, Gerstlberger W, et al. Sociotechnical factors and Industry 4.0: an integrative perspective for the adoption of smart manufacturing technologies. Journal of Manufacturing Technology Management, 2022, 33(2): 259-286.
[13] Qin Y, Wang M, Li M. Research on the Training of Interdisciplinary-Based Intelligent Manufacturing Talents. Journal of Contemporary Educational Research, 2023, 7(2): 15-22.
[14] Liu G, Zhang X, Yan H. Exploration and Practice of Interdisciplinary Integration Cultivation of Talents Majored in Intelligent Manufacturing Engineering under the Background of New Engineering Education. Curriculum and Teaching Methodology, 2022, 5(15): 103-107.

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