Research on the Construction and Practical Path of AI-Driven Personalized Learning in Maritime English

Abstract

Aiming at the core pain points in Maritime English teaching of higher vocational colleges, namely the huge gap in students' basic abilities, the disconnection between teaching content and professional job requirements, and the lack of targeted personalized guidance, this study takes the development opportunity of the integration of artificial intelligence (AI) technology and maritime education as the starting point. Focusing on the construction and practical implementation of the personalized Maritime English learning system, it systematically analyzes the current teaching situation of Maritime English and the characteristic demands of personalized learning, constructs a four-dimensional integrated personalized learning system, and designs a closed-loop practical path with four progressive stages. Empirical results show that the implementation of this system and path has significantly enhanced students' learning engagement in Maritime English and remarkably improved their professional knowledge application capabilities. The research results provide an original and operable practical scheme for the teaching reform of Maritime English, and further enrich the research dimensions of intelligent technology empowering vocational foreign language education.