Generative Artificial Intelligence in Maritime Economic Geography Practice： from the Perspective of the "Double High" Plan's Industry-Education Integration

Abstract

Under the background of deepening the integration of production and education in the "double high plan", this study explores the empowerment path of generative AI through the teaching reform practice of marine economic geography. Aiming at the disadvantages of outdated traditional teaching content and lack of practical experience, the application mode of "double drive and three-stage iteration" is constructed. On this basis, a real enterprise demand driven project-based learning case is designed. Practice shows that the deep integration of generative artificial intelligence effectively improves students' ability to solve complex problems, innovative thinking ability and adaptability to professional scenes.