Genyuan Wang,Jiafa Liu

Artificial intelligence-generated content (AIGC) technology is bringing profound changes to the field of education, showing significant potential particularly in ship engineering education. Traditional teaching methods face issues such as fragmented courses, weak practical training, and a disconnect between education and industry. AIGC can dynamically generate 3D ship models, virtual scenarios, and interactive tasks, addressing the shortage of teaching resources and enhancing learning efficiency through intelligent recommendations. Focusing on the innovative application of AIGC in ship engineering education, this research aims to build a digital teaching platform that integrates generative resources with intelligent service functions and conducts practical teaching validation. By collaboratively developing standardized course packages with enterprises and incorporating real-world cases into the teaching process, a closed loop of 'teaching-practical training-industry application' is formed, narrowing the gap between talent cultivation and industry needs. The research outcomes can provide replicable practice models for similar disciplines, promoting the intelligent transformation of ship engineering education and the development of digital capabilities.

Generative Artificial Intelligence; Ship Engineering Education; Digital Teaching Platform

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