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作 者:王继茹 朱靖 王建 陈羽[1] Wang Jiru;Zhu Jing;Wang Jian;Chen Yu
机构地区:[1]国防科技大学气象海洋学院
出 处:《高等工程教育研究》2024年第3期121-128,共8页Research in Higher Education of Engineering
基 金:湖南省普通高等学校教学改革研究项目“基于数据驱动的知识图谱在本科教学中的应用研究”(HNJG-20230041);国防军事教育学科规划课题“军队院校‘沉浸式’教学模式研究——以海洋科学基础·课程为例”(JYKY-D2023048);国防科技大学教育教学研究课题“从‘数字孪生’到‘实验室+’到‘云探海’——面向海洋探测的智能化多层次实践教学环境建设研究”(U2021212)。
摘 要:为满足新工科建设的需求,教学改革不断朝向数字化和信息化的方向迈进。随着计算技术的发展,数据对于教育的意义越来越重大,不断推动着教与学方式的改变。而且,随着人工智能技术和各领域的深度融合,知识图谱技术近几年在教育领域也崭露头角,在课堂教与学、知识与资源整合、学生个性化学习以及教学评价分析等方面发挥着越来越重要的作用。数据驱动和知识图谱成为国家本科教学改革和创新性人才培养的重要手段。本文分析了数据驱动的知识图谱在本科教育中的作用,探讨了数据驱动的知识图谱在本科教学改革中的应用,并展望了知识图谱在未来教育行业的发展和潜在问题。To meet the needs of new engineering construction,teaching reforms are constantly moving towards digitization and informatization.With the development of computing technology,data is be-coming increasingly important for education,constantly driving changes in teaching and learning methods.In addition,with the deep integration of artificial intelligence technology and various fields,knowledge graph technology has also emerged in the education field in recent years,playing an increasingly important role in classroom teaching and learning,knowledge and resource integration,student personalized learning,and teaching evaluation analysis.Data-driven and knowledge graph have become important means for national undergraduate teaching reform and innovative talent cultivation.This article analyzes the role of data-driven knowledge graph in undergraduate education,explores the application of data-driven knowledge graph in undergraduate teaching reform and prospects for the development and potential problems of knowledge graph in the future education industry.
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