Intelligent game recommendation system.

The technologically advanced learning implies the adaptation of the recommendation systems to the specific wishes and capabilities of the users. The present document proposes an intelligent system designed for the encompassing education of students with special educational needs. The system integrates the capabilities of intelligent agents, the recommendation systems, and the game based learning in order to provide a personalized learning content. A Bayesian Classifier recommends educational games depending on the interests and the preferences of the users, and a multi-agent system provides individual needs by analyzing users' behavior and by determining the need of acquisition of certain knowledge and skills appropriate for the level of learning. [ABSTRACT FROM AUTHOR]