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AI-Empowered "Integration of Basic and Professional English" Teaching Model in Business Schools

Wei Li

Abstract


Against the backdrop of the deep integration of basic and professional education in higher vocational colleges, traditional business
English teaching in business schools (especially those focusing on shipping economics and management) faces prominent challenges, namely
the disconnection between basic English skills and professional application, and the lack of authentic business communication contexts
closely related to the shipping industry. These issues not only restrict the improvement of students' comprehensive English application ability
but also hinder the cultivation of compound business talents with cross-cultural communication capabilities, professional literacy, and industry
practice ability who can meet the needs of the maritime industry. This research and practice proposal, based on the educational and teaching reform project of Jiangsu Maritime Institute, focuses on constructing an AI-empowered "Integration of Basic and Professional English"
teaching model to address the aforementioned dilemmas. By leveraging AI technologies such as dynamic content generation, adaptive learning pathways, and immersive simulations, the proposal reconstructs the curriculum framework based on the "Three-Dimensional Integration"
model proposed by Li, M. & Chen, L. (2023) and builds the EconLingAI teaching platform with multiple functional modules tailored to the
shipping economic management major cluster[1].

Keywords


AI-empowered teaching; Integration of Basic and Professional English; Business schools; Teaching model reform; Adaptive learning; Shipping economics and management; Higher vocational education

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References


[1] Li, M., & Chen, L. (2023). Reconstructing Business English Curriculum: The "Three-Dimensional Integration" Model Empowered by

AI. English for Specific Purposes, 71, 89-102.

[2] Brown, T., & Lee, J. (2023). AI-Driven Adaptive Learning in Business English Education: A Case Study of Curriculum Integration.

Journal of Business English and Communication, 28(3), 45-62.

[3] Smith, K., & Jones, R. (2022). Immersive Simulations in Cross-Cultural Business Negotiation: The Role of Generative AI. International

Journal of Business Communication, 59(4), 567-588.

[4] OpenAI. (2023). GPT-4 Technical Report. OpenAI Blog. https://openai.com/research/gpt-4

[5] Zhang, H., & Wang, Y. (2024). Federated Learning for Privacy-Preserving AI in Language Teaching: Compliance with GDPR and Educational Data Protection. Educational Technology Research & Development, 72(2), 189-210.

[6] European Commission. (2022). General Data Protection Regulation (GDPR) Guidelines for Educational Institutions. Luxembourg: Publications Office of the European Union.




DOI: http://dx.doi.org/10.70711/neet.v4i6.9524

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