Abstract
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, correlation 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.
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Ignatowska, B., Mosdorf, R. (2006). Analysis of E-learning System Dynamics. In: Saeed, K., Pejaś, J., Mosdorf, R. (eds) Biometrics, Computer Security Systems and Artificial Intelligence Applications. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-36503-9_19
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DOI: https://doi.org/10.1007/978-0-387-36503-9_19
Publisher Name: Springer, Boston, MA
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