Agent-Based Modeling of the E-Learning Users’ Behavior

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.