A multi-model approach for supporting the personalization of ubiquitous learning applications

Abstract

An additional platform for supporting learning in the same physical space in which it takes place, is now available owing to the continuous advancement of wireless and mobile technologies. However, new challenges arise for the development of ubiquitous computing learning applications capable to provide appropriate content and services according to the individual needs of each learner. In this paper, we describe the implementation of a centralized system with a multi-model based approach to support the personalization of such applications. These models contain information about the application, the user's characteristics, the usage behavior and the situational environment.