Online Behavior Analysis-Based Student Profile for Intelligent E-Learning

Author:

Liang Kun1ORCID,Zhang Yiying1ORCID,He Yeshen2,Zhou Yilin3,Tan Wei2,Li Xiaoxia2

Affiliation:

1. College of Computer Science and Information Engineering, Tianjin University of Science & Technology, Tianjin 300222, China

2. China GRIDCOM Co., Ltd., Shenzhen 518031, China

3. Xiamen Great Power Geo Information Technology Co. Ltd., Xiamen, Fujian 361000, China

Abstract

With the development of mobile platform, such as smart cellphone and pad, the E-Learning model has been rapidly developed. However, due to the low completion rate for E-Learning platform, it is very necessary to analyze the behavior characteristics of online learners to intelligently adjust online education strategy and enhance the quality of learning. In this paper, we analyzed the relation indicators of E-Learning to build the student profile and gave countermeasures. Adopting the similarity computation and Jaccard coefficient algorithm, we designed a system model to clean and dig into the educational data and also the students’ learning attitude and the duration of learning behavior to establish student profile. According to the E-Learning resources and learner behaviors, we also present the intelligent guide model to guide both E-Learning platform and learners to improve learning things. The study on student profile can help the E-Learning platform to meet and guide the students’ learning behavior deeply and also to provide personalized learning situation and promote the optimization of the E-Learning.

Funder

Tianjin University of Science and Technology

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,General Computer Science,Signal Processing

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