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IJIET 2017 Vol.7(1): 6-10 ISSN: 2010-3689
doi: 10.18178/ijiet.2017.7.1.832

An Empirical Research of Human Behavior Dynamics in Network Course Learning

Yan Cheng and Yan Zeng

Abstract—Learning is a kind of important human behavior to acquire knowledge. This paper discussed temporal characteristics of network course learning on behavior dynamics. Firstly, the students behavior data of the network course learning for 8-weeks are collected from online learning platform. Then, the work used the Maximum Likelihood Estimation(MLE) method for estimating the power exponent of learning behavior interval time distribution, and introduced Kolmogorov-Smirnov(KS) method to test power-law hypothesis .The empirical research results show that: both in the group and individual level, learning behavior time interval obey characteristics of power-law distribution. Underlying these, This thesis combined with the learning psychology, environment and other factors explained the statistical characteristics, and provided some suggestions for teaching management.

Index Terms—Empirical research, behavior dynamics, behavior interval time distribution, power-law.

Yan Cheng is with Tongji University. She is also with Jiangxi Normal University, Nanchang, Jiangxi, China (e-mail: chyan88888@jxnu.edu.cn).
Yan Zeng is with Jiangxi Normal University, Nanchang, Jiangxi, China (e-mail: ningmoxi@163.com).


Cite: Yan Cheng and Yan Zeng, "An Empirical Research of Human Behavior Dynamics in Network Course Learning," International Journal of Information and Education Technology vol. 7, no. 1, pp. 6-10, 2017.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net


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