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The Current State and Future Trends of AI-assisted Higher Vocational English Education

Author(s)

Hanguang Li1,2

Affiliation(s)

1School of Education, Philippine Women's University, Manila, Philippines 2Pingdingshan Polytechnic College, Pingdingshan, Henan, China

Abstract

As information technology evolves, particularly with advancements in artificial intelligence (AI), higher vocational English education is witnessing significant transformations. This paper explores the integration of AI in teaching methods and predicts future trends. AI applications, such as automated assessments and personalized learning paths, enhance teaching efficiency and personalize education. Technologies like natural language processing (NLP) evaluate students' language skills in real-time, providing instant, objective feedback which lightens educators' workloads and increases assessment precision. AI-driven tools, including language learning software like Duolingo and virtual teaching assistants, utilize voice recognition and machine learning to simulate interactive learning environments. These technologies adjust teaching content dynamically and help students practice English in realistic scenarios, thereby improving language proficiency and motivation. Future advancements in AI are expected to introduce more sophisticated algorithms for complex tasks like discourse analysis and cultural education, supported by evolving big data technologies. This will enable deeper, more precise learning analytics and content customization, further enhancing educational outcomes. The integration of AI not only enriches resources but also fosters educational model innovation, supporting vocational colleges in training globally competent professionals. As AI continues to develop, its role in shaping higher vocational English education will grow increasingly vital.

Keywords

Artificial Intelligence; Higher Vocational English Education; Automated Assessment; Personalized Learning Path; Interactive Virtual Teaching Assistants

References

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