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This study explores the enhancement of the "Smart Logistics and Big Data Processing" course in the field of artificial intelligence. The aim is to cultivate skilled professionals who can effectively address upcoming challenges in the logistics sector. This study examines the restructuring of the "Smart Logistics and Big Data Processing" course in artificial intelligence to cultivate skilled professionals prepared to tackle forthcoming challenges in the logistics sector. The paragraph discusses the importance of preparation and training for educators and students, highlighting the necessity for teachers to master new technologies and innovative teaching methods, and for students to improve their technical skills by acquiring proficiency in new tools. The study concludes by assessing the fulfillment of research objectives, which include updating course content and establishing an evaluation mechanism. Through the modernization of course content, the implementation of innovative teaching strategies, and the provision of sufficient preparation and training for both students and educators, significant progress has been observed in practical teaching. This study provides significant insights and practical knowledge for educational reform in the areas of smart logistics and big data processing, thus making a positive contribution to forthcoming educational advancements.
Qin et al. (Wed,) studied this question.