Ontological Model for the Personalization of U-Learning Applications

The ubiquitous learning is regarded as one of the new educational paradigms, where learning situations can happen anytime and anywhere. Computer systems that support such learning must manage a variety of information such as: differentiated characteristics of users, technology used and contexts in which learning takes shape. This implies that the copper context vital importance, as these applications must be sensitive to such contexts and automatically adapt to your changes. This paper presents an ontological model with a comprehensive conceptual framework modeling semantic context of applications of ubiquitous learning and reasoning that you can do from this model to infer new knowledge for customization purposes is presented. Having this framework allow a software developer to take appropriate action with respect to building a ubiquitous learning application, and which will have all classes, relationships and rules of reasoning decisions. Moreover it will allow intelligent agents to reason about the contextual information and can offer customization services to ubiquitous applications. Therefore, it provides a framework to deliver a learning service adjusted to changes in context, mobility and connectivity, as well as the characteristics.