基于"三图谱"的AI赋能海洋类专业课个性化学习改革实践OA
随着人工智能技术的快速发展和教育数字化转型的深入推进,"人工智能+教育"已成为全球高等教育改革的重要方向.但海洋类专业课程往往学科跨度大、对实践情境依赖性强,长期面临着知识组织碎片化、学习路径同质化和思政融入表层化等教学困境,难以实现与人工智能的完美结合.该文以海洋类专业课程舟山渔业简史为载体,通过搭建知识图谱、能力图谱、思政图谱协同的课程知识体系,构建人工智能赋能的个性化学习模式,实现知识传授、能力培养与价值引领的有机统一.实践表明,该模式有效破解海洋类专业课程教学上的难题,实现了从知识传授向知识、能力、价值融合的育人升级,为人工智能赋能高等教育教学改革提供可复制、可推广的实践范本.
With the rapid iteration of Artificial Intelligence technologies and the deepening digital transformation of education,"Artificial Intelligence+education"has become an important direction of global higher education reform.However,marine professional courses are often highly interdisciplinary and heavily dependent on practical contexts.They have been faced challenges such as fragmented knowledge organization,homogenized learning paths,and superficial integration of ideological and political education,making it difficult to integrate with artificial intelligence.This paper takes the marine professional course"A Brief History of Zhoushan Fishery"as a case study.By constructing a coordinated curriculum knowledge system that integrates knowledge graphs,competency graphs,and ideological-political education graphs,this paper develops an artificial intelligence-enabled personalized learning model that achieves an organic unity of knowledge transmission,skill development,and value guidance.Practice shows that this model effectively addresses the teaching difficulties in marine specialized courses,realizes an educational upgrade from mere knowledge transfer to an integrated focus on knowledge,skills,and values,and provides a replicable and scalable practical paradigm for artificial intelligence-enabled higher education teaching reform.
王飞;曲晓玉
浙江海洋大学,浙江 舟山 316022浙江海洋大学,浙江 舟山 316022
社会科学
AI海洋类专业课程个性化学习模式三图谱教学实践
AImarine professional coursespersonalized learning modethree graphsteaching practice
《高教学刊》 2026 (27)
27-31,5
浙江省"十四五"教学改革项目"智能驱动·三元共生:渔用材料力学'师-生-智'融合交互教学模式探索与实践"(JGBA2024254)浙江省农林牧渔类职业教育行业指导委员会课题"人工智能赋能涉海新农科专业课程教学改革与探索"(WK202510)浙江省高等教育学会2026年度高等教育研究课题"基于'三图谱'的人工智能赋能海洋类专业课程个性化学习模式构建与实践"(KT2026419)浙江海洋大学"人工智能+课程"建设项目"渔用材料力学"(浙海大教务发[2025]128号)
评论