U-SEA: A Learning Environment Ubiquitous Using Cloud Computing

Abstract

The spread of the use of virtual learning environments presents a great potential for the development of applications that meet needs in the area of education. In view of the importance of a more dynamic implementation and that it will be able to continually adapt to the needs of students, it was proposed and developed the U-SEA (System of Teaching Adapted Ubiquitous). A software built on the basis of the virtual learning environment Moodle, having as main purpose the adaptation to the context of the computational student, glimpsing techniques characteristics such as the suitability of the environment the connection speed of the user, provided with an infrastructure for Cloud Computing

An adaptive environment based on Moodle with treating of quality of context

“…U-SEA (Piovesan et al, 2012) and SEDECA (Mozzaquatro et al, 2009) modules, which collect context information about connection speed and cognitive user profile, were used as the basis for developing this project. They were restructured for optimisation of their operating mode and their concurrent execution in the UVLE QoC environment, because in its first version, they were created in environments with different versions of Moodle.…”

“…The rules for adapting the materials in the environment according to user's connection speed were based on a study by Piovesan et al (2012). If the speed is below 500 Kbps, only files smaller than 400 kb are shown to users; these files are referred to as adapted.…”

“…The size of this file was chosen as Piovesan et al (2012), by not interfering with the user connection speed. At the time of posting, a timer is started to measure the time of his transfer, being held after the submission, a calculation of the file size over time, resulting in the user's connection speed.…”

“…Examples of computer applications that use context information are the VLEs, which have been adapted to suit the needs of users, as seen in the work of Piovesan et al (2012) and Filho and Agoulmine (2010). However, the context used in these environments are subject to imperfections as explained in Piovesan et al (2012) and Santos (2006), wherein the context information have a high probability of defect or inconsistency caused by inaccuracies in the acquisition and maintenance of context.…”

“…However, the context used in these environments are subject to imperfections as explained in Piovesan et al (2012) and Santos (2006), wherein the context information have a high probability of defect or inconsistency caused by inaccuracies in the acquisition and maintenance of context.…”