【摘要】 在教育数字化转型的时代背景下，慕课的适应性学习支持正在面临新的挑战。为应对这一挑战，文章立足于我国慕课蓬勃发展的现状，针对慕课课程相互独立、适应性支持不足等问题，首先构建了基于知识图谱的适应性慕课生成理论模型。然后，文章以该理论模型为指导，提出服务应用落地的实现机制，即以知识图谱技术为支撑将现有优质慕课资源重构为相互关联的学科“网”络，系统化整合多种自适应学习技术支持，生成高质量、联结化的适应性慕课。最后，文章以项目组研发的“智慕”平台为案例示范，勾勒了基于知识图谱的适应性慕课生成和实践的真实场景，旨在为我国大规模、可推广的适应性慕课实现提供理论和实践借鉴。更多还原

【Abstract】 Under the context of educational digital transformation, the adaptive learning support of massive open online cources(MOOCs) faces new challenges. In order to cope with this challenge, grounded on the current situation of the vigorous development of MOOCs in China, this paper firstly constructed the theoretical model of adaptive MOOCs generation based on knowledge graph aiming at the problems such as the independence of MOOCs and the lack of adaptive support. Then, guided by the theoretical model, the paper proposed the implementation mechanism of service application, that was, the existing high-quality MOOCs resources were reconstructed into interrelated subject “networks”with the support of knowledge graph technology, and a variety of adaptive learning technologies were systematically integrated to generate high-quality and connected adaptive MOOCs. Finally, the ZhiMu platform developed by the project team was taken as a case demonstration, and and the real scene of the generation and practice of adaptive MOOCs based on knowledge graph was outlined, aming to provide theoretical and practical references for the realization of large-scale and scalable adaptive MOOC realization in China.更多还原