Exploring New Paradigms in AI-Driven Multimedia Teaching of Marine Civilization across the Taiwan Strait: Comparative Perspectives from Mainland China and Taiwan

Abstract

This study focuses on how both sides of the Taiwan Strait (Mainland China and Taiwan) reshape maritime civilization education through artificial intelligence, exploring the key role of AI technology in digital teaching material translation, cultural content representation, and cross-domain teaching models. The research adopts a mixed-methods approach, combining expert interviews and Structural Equation Modeling (SEM) to verify the causal relationships among five dimensions: "policy culture, technology integration, cultural connotation, teaching practice, and cross-domain cooperation." The results show that technology integration serves as the mediating core of AI teaching transformation, significantly enhancing cultural interpretation and teaching effectiveness while promoting cross-strait cooperation dynamics. While policy culture provides institutional impetus, it requires technological and cultural translation mechanisms to transform into substantial teaching innovation. The research further constructs a five-ring model of "policy-driven—technology-mediated—culture-translated—teaching-practiced—cooperation-expanded," indicating that maritime civilization AI teaching should move toward narrative transformation that integrates cultural sensitivity and field adaptability. This framework can serve as an important reference for cross-strait smart education collaboration and cultural sustainability co-construction, while providing theoretical innovation and strategic insights for the global AI + maritime civilization cultural education field.