Survey of intelligent collaborative E-learning systems

In recent years, agent technology is used to design solutions that facilitate the implementation of new concepts, especially in the field of E-learning. It is widely used to model the different actors of E-learning systems and manage their interactions, to meet their dynamic and execution needs by their innovative features like intelligence and autonomy. In education field, multi-agent systems makes a great change in the society in the fact that the conventional education system requires the presence of both student and instructor at same place, the same time and at the same interval of time. This kind of system equips with these characters; and provides many advantages like autonomy, reactivity, social ability and proactivity. There are several collaborative E-learning environments using multi-agent technologies that included I-MIND, MASCE, ALLEGRO, etc. Our work aims to define the importance of a collaborative learning system, to define the roles of each actor and the different possible communications between them, to determine the tasks of the agents that can be automated. Furthermore, an analysis of existing multi-agent based collaborative E-learning systems on the basis of their various features covering collaboration features, studenttutor interaction, adaptability measurement and security in order to identify your strengths and weaknesses to determine the most suitable model to our system.