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Curriculum Reform and Innovation of E-Commerce Programs in Higher Education under the Empowerment of Artificial Intelligence

Author(s)

Guangying Wang*, Lijuan Xu

Affiliation(s)

School of International Business, Qingdao Huanghai University, Qingdao, China *Corresponding Author

Abstract

Guided by smart education, technologies such as artificial intelligence and big data are increasingly integrated into university teaching, opening up new directions for instructional reform. As a key field for cultivating interdisciplinary talent, the e-commerce major must address issues such as fragmented curricula, homogeneous teaching formats, weak practical training, and outdated evaluation practices. This paper proposes a “teacher—student—machine” collaborative framework that utilizes intelligent tools, restructures teaching content, builds ubiquitous smart learning environments, and strengthens evaluation mechanisms. The resulting “data-driven—adaptive—competence—oriented” model offers a feasible pathway for promoting the smart transformation and talent cultivation innovation in e-commerce education.

Keywords

Artificial Intelligence; AI Empowerment; Teaching Reform; Higher Education; E-Commerce

References

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