WCSE 2020 Summer
ISBN: 978-981-14-4787-7 DOI: 10.18178/wcse.2020.06.005

Design and Applications of Learner Model Based on Behavior Analysis

Yifei Yao, Fanhua Yu, Xu Zhang

Abstract— As a deep integration of information science and education, learning behavior analysis is one of the hot topics to realize personalized study. A lightweight learner model is proposed to generate customized quiz for individuals, which is along with an explicit and an implicit update algorithm. While learning interest is a three-level queue which is inferred from learning behavior and learning level is a binary vector which is inferred from test result. Commentary is provided on two fronts, concerning the extreme and unexpected cases. Through the analysis of simulation results, it is conīŦrmed that the model is helpful to enhance the outcomes of online learning.

Index Terms— learner model, learning analytics, behavior analysis, adaptive educational system

Yifei Yao, Fanhua Yu, Xu Zhang
College of Computer Science and Technology, Changchun Normal University, CHINA

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Cite: Yifei Yao, Fanhua Yu, Xu Zhang, "Design and Applications of Learner Model Based on Behavior Analysis " Proceedings of 2020 the 10th International Workshop on Computer Science and Engineering (WCSE 2020), pp. 25-29, Shanghai, China, 19-21 June, 2020.