Author(s)

Chi-Hsiang Ting ¹, Chin-Lien Chang ¹, Shen Chao ², Lina Mao ¹, Xuemei Wang ¹, Gu Weiwei ¹

Affiliation(s)

¹ Faculty of Management Engineering, Huaiyin Institute of Technology, Huai'an, China
² Student Affairs Office, Huaiyin Institute of Technology, Huai'an, China

Corresponding Author

Chi-Hsiang Ting

ABSTRACT

Intelligent logistics is the current trend of industry development, and for the cultivation of logistics talents in universities, courses related to the Internet of Things need to be added. Therefore, the research on the application of problem-based learning (PBL) in the teaching of logistics practical simulation software courses is a topic worth exploring. This study utilizes commonly used software in logistics courses to implement problem-based learning teaching method in the classroom for students. Observing students' learning situation and obtaining feedback on problem-based learning teaching method is of substantial help to students' learning.

KEYWORDS

Logistics engineering, Problem-Based Learning teaching

CITE THIS PAPER

Chi-Hsiang Ting, Chin-Lien Chang, Shen Chao, Lina Mao, Xuemei Wang, Gu Weiwei, Problem-Based Learning Application Research in Logistics Simulation Software Course Teaching. Curriculum and Teaching Methodology (2023) Vol. 6: 100-105. DOI: http://dx.doi.org/10.23977/curtm.2023.061916.

REFERENCES

[1] Zou, X. (2023) Intelligent logistics facilities and equipment. Electronic Industry Press.  
[2] Yang, Y. T. (2023) Make logistics equipment more intelligent and personalized. Small and medium-sized enterprises in China.
[3] Xi, C. B. (2022) Application and Development of PLC in the Intelligent Development of Logistics Equipment. Logistics Technology and Applications.
[4] Wang, X. L. (2022) Application and Development Trends of Intelligent Logistics Equipment. Logistics Equipment
[5] Barbara, J. D. (2008) Problem-based learning in physics: Making connections with the real world. AIP Conference Proceedings. 399(1): 557-565
[6] Yu, S. Z. and Chen, J.  (2018) FlexSim simulation modeling and analysis. Northeast University Press. 
[7] Guo, X. P., Yang, X. Wang, Y. Y. (2020) Anylogic Modeling and Simulation. Central South University Press.

Sponsors, Associates, and Links

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• Advances in Educational Technology and Psychology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education
  
  
• Adult and Higher Education