基于知识图谱的智能航海专业“跨学科 + 产教融合”课程体系建设研究

Research on Curriculum System Construction of Intelligent Navigation Major Based on Knowledge Graph from the Perspective of “Interdisciplinary and Industry-Education Integration”

摘要: 随着智能船舶不断发展，未来船员人才结构将出现重大调整，然而传统航海教育存在学科割裂、理论实践脱节等问题，不能满足未来智能航运人才培养需求。本文依托知识图谱技术梳理了多个领域课程知识点关联关系，基于多源数据完成实体、关系抽取与知识融合，搭建航海专业知识图谱，构建了通识打底–交叉基础–双轨核心–产教实训–前沿拓展五层阶梯式跨学科与产教深度双融合课程体系。结合院校现有课程开展实证对比，剖析了现行培养短板，可为智能航海专业人才培养方案修订提供参考。

Abstract: In response to policy requirements for intelligent shipping development and high-quality seafarer training, this paper addresses the problems of isolated disciplines and disconnection between theoretical teaching and practical training in traditional navigation education. With the aid of knowledge graph technology, the correlations among multidisciplinary curriculum knowledge points are sorted out, and a standardized knowledge graph for navigation major is constructed via entity and relation extraction as well as knowledge fusion based on multi-source industrial data. On this basis, a five-tier progressive curriculum system consisting of general basic courses, interdisciplinary basic courses, dual-track core courses, industry-education integrated practical training and cutting-edge expanding courses is established to realize in-depth integration of interdisciplinary education and industry-education cooperation. Through empirical comparison with the existing curriculum of colleges, the deficiencies of current training modes are analyzed, providing references for the revision of talent cultivation plans and curriculum reform of intelligent navigation majors.