Analysis of e-learning system dynamics

被引：2

作者：

Ignatowska, B. ^{[1
]}

Mosdorf, R. ^{[1
]}

机构：

[1] Higher Sch Finance & Management Bialystok, 1 Grunwaldzka St, Elk, Poland

来源：

BIOMETRICS, COMPUTER SECURITY SYSTEMS AND ARTIFICIAL INTELLIGENCE APPLICATIONS | 2006年

关键词：

D O I：

10.1007/978-0-387-36503-9_19

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the paper the analysis of dynamics of e-learning system activity has been presented. The aim of analysis was the identification of dynamical properties of e-learning system. The changes in time of system users' logs (administration workers and teachers) and logs into web server (internet pages) have been analysed. The following methods: autocorrelation function, Fourier analysis, wavelet analysis, Hurst exponent, attractor reconstruction, con-elation dimension and largest Lyapunov exponent have been used. It has been found that frequency analysis and non-linear analysis can be useful method for identification of activity of different kinds of users of e-learning system.

引用

页码：207 / 216

页数：10

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