A Literature Review of Data-Driven Multimodal Learning Analytics in Education Based on Citespace

Multimodal learning analysis offers the possibility to comprehensively study students' learning processes, promote effective learning and explain teaching patterns in complex environments. In this paper, Citespace software is used to review the literature related to multimodal learning analysis techniques in education in WoS database and CNKI. The start of research in this field and the research intensity can be shown by the distribution of the time of publication of the literature. The domestic research situation, the research situation in each country and its influence can be shown by analyzing the country and institutional distribution of the literature. And the analysis of the co-occurrence of keywords shows the hot research content in this field. After the econometric and qualitative analysis of the literature, this paper discusses the future research trends of multimodal learning analytics in education, mainly including: taking students' personalized learning and emotional experience as the value orientation, carrying out in-depth empirical research on multimodal fusion analytics on the basis of protecting students' data and privacy security, and promoting the construction of intelligent learning service system.