The Design of an Intelligent Software Architecture Based on a Generic eLearning Environment

Abstract

This paper presents the design of an intelligent software architecture called Learning Virtual Object Tool (LVOT) to facilitate the definition, registration and delivery of objects in a Generic eLearning Environment (GeLEnv). The research work brings our initial explorations towards the definition and use of simple and more complex learning objects in cooperative environments. We use a top-down analysis process [4] to describe GeLEnv models. Our architecture serves to statically and dynamically generate learning objects using a special purpose registry and, two core functional engines. Basic, composite and cooperative LVO structures can be defined and registered using the first engine. The second engine intelligently processes these structures to provide the learning resources to the final users of our LVOT platform.