AGENT-BASED MODELING OF THE E-LEARNING USERS’ BEHAVIOR

Authors

  • Viktor Artemenko

DOI:

https://doi.org/10.47839/ijc.13.1.622

Keywords:

e-Learning, agent-based models, artificial neural networks, software for agent-based modeling.

Abstract

In this paper the methodological and technical approaches are considered to construct the agent-based model (ABM) with built-in artificial neural networks. This model describes the user’s behavior of electronic or distance learning in a virtual environment of one of universities. Design of ABM aims to support a development of Web analytics (learning analytics) on the basis of computer experiments evaluating the trends of the knowledge creation and dissemination for e-Learning users. In research AnyLogic software, which is one of the most popular packages for agent-based modeling, is proposed for implementing the created model, and package STATISTICA Neural Networks is proposed for constructing the neural networks.

References

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V. Artemenko. Computer modeling of com-municative interactions of e-Learning agents, Educational Technology & Society, (13) 2 (2010), pp. 345-354. http://ifets.ieee.org/russian/depository/v13_i2/pdf/12r.pdf. (in Russian).

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Published

2014-08-01

How to Cite

Artemenko, V. (2014). AGENT-BASED MODELING OF THE E-LEARNING USERS’ BEHAVIOR. International Journal of Computing, 13(1), 61-69. https://doi.org/10.47839/ijc.13.1.622

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Section

Articles