AI Enables Schools and Enterprises to Cooperate to Explore a new Model of Cultivating multi-Disciplinary Talents in E-commerce Based on the investigation and research of Trueland Information Technology (Shanghai) Co., Ltd
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Abstract
The paper expounds the challenges and opportunities faced by talent training in the AI era, and emphasizes the urgency of cultivating e-commerce composite talents and the necessity of industry-education integration. This paper analyzes the new model framework and the key points of curriculum system reconstruction from the aspects of target positioning, curriculum system and teaching method. The influence of AI technology development on the development of e-commerce education is expounded. The practical experience of building a training system and faculty construction for e-commerce majors in school-enterprise cooperation points out the future development direction of AI enabling school-enterprise collaborative creation of e-commerce multi-disciplinary talents.
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References
Cheng, Y., Liu, Y., & Liu, W. (2025). The technological foundation, mechanism of action, and future directions of metaverse in empowering talent cultivation in higher education institutions. Journal of Fuyang Normal University (Natural Science Edition), 42(1), 96-103. doi:10.14096/j.cnki.cn34-1334/n.2025.03.013
Du, X., Fu, X., Wang, Y., et al. (2025). Teaching reform of introduction to software engineering in the new engineering context. Computer Education, (5), 100-104. doi:10.16512/j.cnki.jsjjy.2025.05.027
Han, T., & Liu, Y. (2024, November 30). School-enterprise "marriage" symphony of integration and mutual promotion. Guangming Daily.
Han, X., Pan, S., & Wang, Y. (2024). The practice of the 'class-position alignment', 'class-certificate integration', and 'class-competitive integration' teaching models in the film and television post-production synthesis and production course. Linqu Teaching, (7), 54-58.
Li, Y., Zhu, G., & Xie, M. (2023). Exploring a collaborative AI innovation talent cultivation model for schools and enterprises based on PaddlePaddle. Computer Education, (12), 49-53.
Qiao, S., & Gao, Z. (2025). Artificial intelligence empowering school education reform: Value, limits, and practical approaches. Journal of Zhejiang Normal University (Social Sciences Edition), (4), 101-109. Retrieved from http://kns.cnki.net/kcms/detail/33.1011.c.20250619.1013.006.html
Ren, L. (2025). The realistic dilemma and countermeasures for cultivating outstanding engineers through industry-education integration. Journal of Hubei University for Nationalities (Philosophy and Social Sciences Edition), 1-10. doi:10.13501/j.cnki.42-1328/c.20250611.002
Wang, K., Wang, L., Lin, J., et al. (2025). Exploring new transformations and models of engineering education in the digital intelligence era. Research on Science and Education Development, 5(1), 13-37. doi:10.20105/j.cnki.jstes.2025.01.001
Yang, Q., & Song, W. (2022). An exploration of the optimal scheme for cooperation between schools and enterprises in computer talent training in the era of artificial intelligence. China Education Informatization, (7), 34-38.
Zhou, K. (2024). Research on the construction of a six-in-one trade training base integrating production, learning, research, innovation, competition, and service. Talent Intelligence, (26), 189-192.
