Author(s)

Weicheng Guo ¹, Miaoxian Guo ¹, Zishan Ding ¹

Affiliation(s)

¹ College of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, China

Corresponding Author

Weicheng Guo

ABSTRACT

With the continuous application of artificial intelligence technology in diversified industries, mechanical engineering as a discipline closely related to manufacturing industry, is facing the demand of comprehensive transformation and upgrading. Under the background of intelligent manufacturing, the teaching of mechanical engineering needs to pay more attention to the combination of theory and practice in order to cultivate compound innovative talents to meet the needs of modern manufacturing industry. This study actively explores new teaching mode under the background of intelligent manufacturing to stimulate students' enthusiasm for learning complex theoretical knowledge through diversified teaching links. Then a balanced communication and effective feedback mechanism between teachers and students will be enhanced, and a new situation can be created in which students change from passively accepting course content to actively exploring the latest knowledge in the field of mechanical manufacturing. Relying on the trinity of pre-class independent preview, in-class interaction between students and teachers, and post-class knowledge reconstruction in the teaching process, students' initiative to learn mechanical engineering courses can be strengthened, and thus engineering practice ability and innovation ability of students for intelligent manufacturing are improved.

KEYWORDS

Engineering Education; Intelligent Manufacturing; Teaching mode; Talent Cultivation

CITE THIS PAPER

Weicheng Guo, Miaoxian Guo, Zishan Ding, Teaching mode design in mechanical engineering major courses integrating intelligent manufacturing. Adult and Higher Education (2024) Vol. 6: 42-48. DOI: http://dx.doi.org/10.23977/aduhe.2024.060807.

REFERENCES

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[3] Yan, Q., Wang, H. (2022) Research on the Construction of Intelligent Manufacturing Collaborative Innovation Center. Industrial Engineering and Innovation Management, Vol. 5: 6-10.
[4] Qin, Y., Wang, M., and Li, M. (2023) Research on the training of interdisciplinary-based intelligent manufacturing talents. Journal of Contemporary Educational Research, 7(2), 15-22. 
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Sponsors, Associates, and Links

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• Advances in Educational Technology and Psychology
  
  
• Curriculum and Teaching Methodology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education