Research on the Framework of an Artificial Intelligence-Empowered Lifelong Learning System in the Shipping

DOI

10.2991/978-94-6239-699-9_40How to use a DOI?

Keywords

artificial intelligence; shipping industry; lifelong learning; system framework; intelligent education

Abstract

Against the backdrop of intelligent transformation in the global shipping industry, traditional education and training systems have become increasingly inadequate in meeting the dual demands of rapid technological iteration and continuous professional competency development. Grounded in lifelong learning theory, human capital theory, educational ecology theory, and intelligent education theory, this study focuses on the central proposition of how to construct an artificial intelligence-empowered lifelong learning system adapted to the shipping industry context. The study systematically examines four major application scenarios of artificial intelligence technology in maritime education and training: intelligent learning diagnosis and personalized recommendation, virtual simulation and immersive instruction, intelligent assessment and multi-dimensional competency evaluation, and big data monitoring and management of learning processes. Building upon this analysis, the study constructs a five-in-one theoretical framework comprising the Philosophical Layer, Core Layer, Support Layer, Guarantee Layer, and Evaluation Layer, and further delineates five core functional sub-modules. This research addresses the theoretical gap in the systematic integration of lifelong learning principles, artificial intelligence technology, and shipping industry characteristics, thereby providing theoretical foundations and practical references for advancing high-quality talent development in the maritime sector.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xia Sun
AU  - Zhen Wang
PY  - 2026
DA  - 2026/06/02
TI  - Research on the Framework of an Artificial Intelligence-Empowered Lifelong Learning System in the Shipping
BT  - Proceedings of the 2026 4th International Conference on Digital Economy and Management Science (CDEMS 2026)
PB  - Atlantis Press
SP  - 379
EP  - 385
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-699-9_40
DO  - 10.2991/978-94-6239-699-9_40
ID  - Sun2026
ER  -