Optimization and Practical Exploration of Maritime English Teaching Model Based on Artificial Intelligence

Abstract

With the increasing internationalization of the shipping industry, higher demands are placed on the English communication skills
of maritime professionals. However, traditional Maritime English teaching methods face challenges such as limited practical opportunities
and a lack of personalized guidance. The advancement of artificial intelligence (AI) technology presents new opportunities for the reform of
Maritime English teaching. This paper takes the construction of an intelligent teaching platform as a starting point, detailing micro-lecture design strategies. By establishing a multimodal corpus and scenario simulation systems, it explores innovative approaches to practical training.
Combined with AI-powered evaluation technology, the paper proposes an optimized personalized learning path, aiming to provide practical
references for advancing Maritime English teaching reform.