A Maritime-Integrated Model for Teaching Resource Construction in Big Data Platform Deployment and Operation Courses

Taizhi Lv

doi:10.54691/00dkkn06

Authors

Taizhi Lv

DOI:

https://doi.org/10.54691/00dkkn06

Keywords:

Vocational Education; Big Data Major; Big Data Platform Deployment and Operation; Project-Based Learning; Generative Artificial Intelligence.

Abstract

The rapid transformation of the shipping industry toward digitalization and intelligence has raised urgent demands for high-quality big data professionals with strong technical competence and a sense of social responsibility. This study proposes a three-dimensional teaching resource construction model for Big Data Platform Deployment and Operation courses in higher vocational colleges. The model integrates real-world maritime projects as the instructional context, curriculum-based ideological and political education as the value-oriented core, and generative artificial intelligence as a key enabling technology. Drawing on the needs of the smart shipping industry, the study systematically addresses existing shortcomings in teaching resource construction and details the development of project-based maritime teaching resources, the embedding of ideological and political elements under the national “Maritime Power” strategy, and the application of AI-driven tools for dynamic resource generation. The proposed approach aims to enhance students’ technical capabilities and cultivate holistic competencies, offering practical insights for talent cultivation in the emerging smart shipping ecosystem.

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References

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