Research on Online Learning Behavior of College Students Based on Learning Analytics Technology

With the maturity of computer technology, the development of learning analytics technology and the advent of the big data era, online learning has become a widely accepted learning method. Online learning has developed rapidly, with huge and widespread impacts. However, at the same time, problems such as poor learning ability and high dropout rate that have attracted attention still persist, and these problems need to be solved with the application of learning analytics technology in teaching. Based on the data and information collected from the Chaoxing Learning Platform, this paper uses content analysis, data statistical analysis and other methods to conduct an in-depth study and analysis of the online learning behavior of 43 learners from the School of Education Technology of H University. The study found that:(1) Learners lack enthusiasm in watching videos, with most videos having a review ratio of less than 100%. (2) The listed learning behaviors are correlated with the learning outcomes.(3) The scores of the quizzes can reflect the learning outcomes well and help teachers intervene in teaching. Based on this, teachers can provide teaching intervention and learning support to improve students' online learning outcomes by addressing the problems existing in learners' learning behavior preferences, learning patterns, course design, and platform construction.