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生成式AI赋能船舶类人才培养:价值、风险与路径

江玉杰

工业技术与职业教育2026,Vol.24Issue(1):50-57,8.
工业技术与职业教育2026,Vol.24Issue(1):50-57,8.

生成式AI赋能船舶类人才培养:价值、风险与路径

Empowering the Cultivation of Maritime Talent with Generative AI:Values,Risks,and Pathways

江玉杰1

作者信息

  • 1. 江苏海洋大学,江苏 连云港 222000
  • 折叠

摘要

Abstract

To effectively promote the application of generative AI in the cultivation of shipbuilding professionals,an in-depth study on the empowerment of generative AI in shipbuilding-related talent development from three dimensions:value significance,potential risks,and optimization pathways,was conducted.The research findings indicate that generative AI exhibits dual potential in the teaching process,namely reshaping the role of teachers and facilitating students'learning.However,the application of generative AI in the cultivation of shipping-related talents still faces several potential risks.For educators,the primary risks include the degradation of teaching capabilities,increased difficulty in controlling teaching resources,and heightened challenges in academic integrity supervision.For students,the main risks manifest as superficial knowledge comprehension,the decline of practical skills,and academic misconduct.To address these potential risks,an optimized pathway for generative AI-enabled shipbuilding talent cultivation is proposed from a"four-in-one"perspective involving education departments,universities,teachers,and students.

关键词

生成式AI/船舶类人才/人才培养/价值意蕴/潜在风险/优化路径

Key words

generative AI/maritime talent/talent cultivation/value connotations/latent risks/optimization pathways

分类

社会科学

引用本文复制引用

江玉杰..生成式AI赋能船舶类人才培养:价值、风险与路径[J].工业技术与职业教育,2026,24(1):50-57,8.

基金项目

江苏海洋大学"海州湾英才"创新计划项目(项目编号:KQ25057),主持人江玉杰. (项目编号:KQ25057)

工业技术与职业教育

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