Classification of Distance Learning Agents

Implementation of agent based intelligent technologies in the environment of distance learning can individualize learning, enable the optimal use of learning resources and ensure effective interaction with all participants of the learning process. The paper presents agent classification for the modern distance learning environments, based on Anderson and Garrison’s model of interaction modes in distance learning process. All components of the learning process model and the interaction of agent groups are distinguished, and the functions of such groups are described.