文献类型：会议论文

英文题名：Construction and Application of Multimodal Knowledge Graph for Intelligent Adaptive Learning

作者：Jiang, Cuiling[1];Wan, Yongjing[1];Zhu, Yu[1];Yuan, Weina[1];Pang, Yilin[1]

机构：[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai, Peoples R China

会议论文集：17th International Conference on Education Technology and Computers-ICETC

会议日期：SEP 18-21, 2025

会议地点：Barcelona, SPAIN

语种：英文

外文关键词：intelligent adaptive learning system (IALS); multimodal knowledge graph(MKG); personalized recommendation; learner portrait

摘要：The rapid development of artificial intelligence (AI) has transformed education mode from adaptive learning to intelligent adaptive learning. This study takes the course 'Digital Signal Processing(DSP)' as the research object, and studies the application of multimodal knowledge graph construction, personalized recommendation and learner portrait generation in intelligent adaptive learning system. Based on the course knowledge graph, this paper studies the construction and teaching reform methods of professional courses for intelligent adaptive learning, aiming to form a paradigm for the construction and application of professional course knowledge graph with popularization value. The practical effect shows that this research can better tailor the teaching to the individual differences of students and improve the learning efficiency of students; it can also effectively promote the continuous improvement of course teaching and enhance the quality of teaching.