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Analysis of Learning Behaviors Based on Learner Portraits

in this paper, by constructing learners portrait label system, integrating and screening out four dimensions of teaching interactive features, course completion features, learning engagement features, score features, it provides the measurement index for the labeling system of learners' portraits. Through data mining technologies such as clustering analysis and regression analysis, etc. it divides course learners into four groups, also explains the learning features and behavior features of each type of learners in detail, and identifies the factors that have the greatest influence on learning performance in learners' learning behaviors.