Author(s)

Lou Jie ¹, Zhang Xiao ¹, Wu Feng ¹, Ni Kun ¹, Liu Yang ¹

Affiliation(s)

¹ School of Foreign Languages and Business, Shenzhen Polytechnic University, Shenzhen, China

Corresponding Author

Zhang Xiao

ABSTRACT

The course Cross-border E-commerce Data Analysis and Application focuses on addressing issues in traditional teaching during the Cross-border E-commerce industry's transformation toward "refined digital operations," such as disjointed talent cultivation, lagging resources, insufficient adaptation to student needs, and rigid integration of ideological and political education. It constructs a three-dimensional solution featuring "positive values infusion, AI empowerment, industry-education integration, and pervasive digitization." Taking "Championing "Smart China" as the main guiding theme, it incorporates cases on compliant overseas expansion and data privacy protection. Empowered by AI, the course builds a knowledge graph for cross-border e-commerce data analysis and an intelligent agent. It develops AI interactive digital textbooks, integrates MOOCs and training platforms to form a multi-dimensional learning scenario of "text-audio-visual-interaction," and dynamically updates resources. Notable practical achievements include: significantly enhanced data analysis capabilities among students, winning national skills competition awards, and the incubation of multiple entrepreneurial teams. This provides a replicable practical path for the digital transformation of vocational education.

KEYWORDS

AI Empowerment, Digital Transformation, Digital Intelligence Classroom, Cross-border E-commerce, Data Analysis

CITE THIS PAPER

Lou Jie, Zhang Xiao, Wu Feng, Ni Kun, Liu Yang, AI-Empowered Construction and Implementation of Digital Intelligence Classroom for the Course "Cross-Border E-Commerce Data Analysis and Application". Advances in Vocational and Technical Education (2025) Vol. 7: 83-88. DOI: http://dx.doi.org/10.23977/avte.2025.070213.

REFERENCES

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[4] Chen Wanling, Wang Yangyang. Research on the Construction and Effectiveness of Human-Machine Collaborative Teaching Model for Higher Vocational English Courses—From the Perspective of AI Empowerment [J]. Journal of Guangdong Industry Polytechnic, 2025, 24(01): 34-41.
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