UBILANG: Um modelo computacional de aprendizagem ubíqua de idiomas com sensibilidade ao contexto

Abstract

Grasp a new language is a task that many seek to achieve is for professional or personal need. The world is increasingly interconnected in terms of mobile devices and wireless networks, and can facilitate the educational process and learning of languages. It is considered that ubiquitous computing applied to education can contribute co the learning process through their applications and environments that depict a reality permeated computers. The Ubilang model uses an external database location to provide contextualized learning content with use of ontologies constructed from the user contexts. Its functionality is to perform search for external elements to enhance learning in the learner's environment. The main contribution of this paper proposes a computational model of ubiquitous language with the context of science learning called Ubilang that uses as context information reference associated with an external database location to provide contextualized learning content. The model was evaluated using prototype used based on the time and location contexts by scenario analysis. The results were positive and the application of Ubilang model to deliver content based on location and time apprentice. It was found a significant difference in the availability of content when the selection was made by time.