The GenAI Application of Personalized Learning and Human-AI Collaboration in English Education

Following the rise of generative artificial intelligence technology, the educational industry has gradually become more innovative. But opportunities always coexist with challenges. The way to collaborate Human-AI relation in education needs to be concentrated on. This paper explores the practical application and effects of GenAI in tiered teaching implementation and student English capability development for higher vocational students upgrading to undergraduate colleges by using a mixed-methods approach. The study observed measurable improvements in students' language proficiency, application ability, and critical thinking skills. Specifically, instant feedback from AI allowed them to refine the grammar, translation, writing and other language skills when they finish personalized learning and human-AI collaborative tasks. However, the survey also reveals technology dependency and insufficient evaluation criteria for AI-enabled tasks. To solve these problems, the author suggested to implement “human-AI collaboration” mode to concentrate on proper evaluation criteria, ethical education, and dynamic monitoring mechanisms. By doing so, it will be worthy data in English education and verify the unique value of GenAI in balancing college education with personalized cultivation.