ROAD: repositório semântico de objetos de aprendizagem para dispositivos móveis

Abstract

Many Web systems are being adapted for execution and visualization in mobile devices. Learning Objects (LO) are no exception and are largely used as a pedagogic resource in the context of M-Learning. However, one of the main problems of the regular Web is also found in the mobile Web. The loss of meaning and structure related to the information prevents the realization of efficient and specific consults. In the scenario of this dissertation these limitations have prevented the recuperation of specific Learning Objects for the users educational necessities. Furthermore, when these Learning Objects are consulted through mobile devices, the limitation is maximized by the loss of standardization in these devices, either related to hardware or to software. With the objective of minimizing these restrictions, a Learning Objects repository is proposed in this dissertation - ROAD, which applies the standards of Semantic Web in order to better structure the context of the LOs by adding the intended semantic to them, specifically using the concept of Ontologies. Beyond those standards, the ROAD uses technologies that allow the identification of the mobile device being used for access so to the LO can be filtered according to the technological characteristics of the mobile device. The context of use of the ROAD will be based on two modules: ROAD as a support for the traditional classroom, which will utilize the students mobile devices available in class as a tool in the teaching/learning process; and, the ROAD as free access to the Learning Objects based on the potentialities offered by the M-Learning, which allows a utilization that does not depend on place or time and can be accessed by a user on the go.