Author(s)

Zhang Zhenju ¹

Affiliation(s)

¹ Zhanjiang University of Science and Technology, Zhanjiang, China

Corresponding Author

Zhang Zhenju

ABSTRACT

The "AI+" wave is reshaping the higher education ecosystem, providing impetus for the reform of business and management courses. Taking the International Trade Practice course as its subject, this paper explores reform proposals and practical pathways within the context of artificial intelligence. The paper first reviews the current application of AI technology in education and within this specific course, analysing the shortcomings of traditional teaching across four dimensions: content, methodology, practice, and assessment. Building upon this foundation, it constructs the "Intelligent Practice Community" teaching model and proposes a four-tiered implementation pathway encompassing technological integration, resource restructuring, faculty empowerment, and assessment innovation. Finally, it outlines safeguarding measures for curriculum reform, providing theoretical and practical guidance for the course's deep transformation towards intelligentization.

KEYWORDS

AI+Education; International Trade Practice; Teaching Model; Practical Pathways

CITE THIS PAPER

Zhang Zhenju, Research on Teaching Model Reform and Implementation Paths of "International Trade Practice" under "AI+" Context. Curriculum and Teaching Methodology (2025) Vol. 8: 172-178. DOI: http://dx.doi.org/10.23977/curtm.2025.080824.

REFERENCES

[1] Wang Hui-Juan. AI-Empowered OBE Teaching Paradigm: A Case Study of International Trade Practice Course [J]. Foreign Trade and Economic Cooperation, 2025, (06): 137-140.
[2] Zheng Xudong, Zhou Bing. Overall Objectives, Theoretical Foundations and Specific Pathways for Integrating Artificial Intelligence into the "Three Classrooms" [J]. Research on Educational Technology, 2025, (11): 85-91.
[3] Chen Lei. Constructing an AI-Based Learning Ecological Smart Classroom Model [J]. Information and Computers, 2025, 37(21): 239-241. 
[4] Xiang, R. J., Liu, Y., Tian, X. W., et al. Exploration and Practice of "Mechanical Engineering + AI" Interdisciplinary Talent Cultivation Model for Intelligent Manufacturing [J]. Times Automobile, 2025, (21): 92-94.
[5] Zhang Jijun, Wang Lu, Chen Rongrong. Reform Approaches and Implementation Pathways for AI-Empowered Undergraduate Classroom Teaching [J]. Shaanxi Education (Higher Education), 2025, (10): 28-30.

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