Artificial Intelligence and Personalized English Learning Plan: A Survey Study Based on Applied Undergraduate Programs

Against the backdrop of the deep integration of artificial intelligence (AI) technology and the field of education, as well as the gradual popularization of cross-campus teaching models, personalized English learning has become a key approach to enhance students’ learning efficiency. Based on core learning motivation theories such as Self-determination theory and Achievement Motivation theory, this study, which takes 192 students from Geely University as the research sample, systematically analyzes the current status, motivation characteristics, and path dilemmas of college students using AI tools for English learning in the cross-campus environment. These findings show that the study in this paper can, to some extent, recommend the most effective AI-empowered personalized English learning plan that adapts to cross-campus teaching scenarios, and provide practical reference and decision-making base for English teaching reform in colleges and universities in China.