摘要
数字化人工智能技术的快速发展正在深刻地影响着教育领域。知识图谱在教育数字化转型中扮演着至关重要的角色,它推动了教育的个性化和智能化发展,提高了教育教学的质量和效率。知识图谱使教育者能够将课程内容以可视化的方式展示,从而促进了教学创新和课程改革。在混合式教学设计中,知识图谱的应用为学生提供了个性化学习推荐和智能化学习辅助,提升了学习效率。此外,知识图谱在教学资源推荐、学习行为数据化、课程知识点脉络与学情分析的可视化等方面发挥着重要作用,促进了教学资源的智能化和精准化。随着技术的持续进步,知识图谱有望在教育、教学和学习等方面发挥深远的变革。教育工作者,在积极拥抱知识图谱技术的同时,也应审慎地从教育本质出发,确保其开发应用与学习教学的根本原则相契合,以实现教育创新与知识图谱构建的有机结合。
The rapid advancement of digital artificial intelligence technologies is profoundly reshaping the educational landscape.Within this context,knowledge graphs emerge as pivotal tools in the digital transformation of education,fostering personalized and intelligent learning environments while enhancing overall educational quality and efficiency.By enabling educators to visualize course content,knowledge graphs catalyze teaching innovation and curriculum reform.In blended learning environments,they enable personalized learning recommendations and intelligent assistance,thereby improving student learning outcomes.Moreover,knowledge graphs are instrumental in the recommendation of teaching resources,data⁃driven analysis of learning behaviors,curriculum knowledge visualization,and learning situation analysis,all of which contribute to more intelligent and precise educational resources.As technology continues to evolve,knowledge graphs are poised to drive profound changes in teaching and learning paradigms.However,educators must carefully integrate this technology,ensuring that its development and application align with the core principles of teaching and learning.This careful consideration is essential for achieving a seamless blend of educational innovation and the construction of knowledge graphs.
作者
邓硕
闫焱
DENG Shuo;YAN Yan(School of Mathematics and Physics,Hebei Geo University,Shijiazhuang,Hebei 050031,China;School of Science,North China University of Science and Technology,Tangshan,Hebei 063210,China)
出处
《河北师范大学学报（教育科学版）》
北大核心
2024年第5期100-102,共3页
Journal of Hebei Normal University(Educational Science)
基金
2023年度河北省高校创新创业教育教学改革研究与实践项目“‘课堂+竞赛’双驱动创新创业能力提升的课程教学设计及实施”(2023cxcy136)
2022年度华北理工大学校级教育教学改革研究与实践重点建设项目“《高等数学》‘深度·增值’提升课堂的设计与实施”(ZJ2217)。
关键词
知识图谱
智能化
可视化
数智化教育
教育数字化转型
knowledge graphs
artificial intelligence
visualization
digital intelligence education
digital transformation of education
