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Article
Affiliation(s)

Shanxi Vocational University of Culture & Tourism, Taiyuan, China

ABSTRACT

As artificial intelligence generated content (AIGC) technology continues to develop, its potential in higher education has attracted significant attention. This study examines the application of AIGC in English language teaching within tourism and cultural vocational undergraduate programs. Aligned with the College English Teaching Guidelines and the principles of vocational education, it explores how AIGC can enhance curriculum design, support scenario-based instruction, and strengthen professional competency development. Through practical examples including AI-powered dialogue simulation and industry-aligned text generation, the study highlights the technology’s effectiveness in increasing instructional relevance and enabling personalized learning. Challenges related to human-AI collaboration, ethical data use, and pedagogical adaptation are also discussed, offering insights for English teaching reform in vocational undergraduate education.

KEYWORDS

AIGC, tourism and cultural vocational education, English teaching

Cite this paper

GUO Junyi. (2026). AIGC-Enabled English Teaching for Culture and Tourism Vocational Undergraduate Programs. US-China Education Review A, January 2026, Vol. 16, No. 1, 11-16.

References

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Smith, J., & Johnson, L. (2021). Adaptive learning systems in professional education: Design principles and implementation strategies. London: Routledge.

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