Global: uma infra-estrutura descentralizada para ambientes de educação ubíqua

Abstract

This work presents Global, a decentralized, ubiquitous learning infrastructure based on multi-agent systems. Global provides software agents that execute tasks related to ubiquitous learning. By extending these agents, or adding new agents, Global can be customized to create ubiquitous learning environments. We present a complete scheme of the general architecture, describing its agents and auxiliary components. We also fully model the system throught the Prometheus methodology, which is used to specify multi-agent systems.

We developed a prototype based on the Global specification. Furthermore, we present three applications developed using this prototype, with the goal to perform an evaluation of our approach.