A Context-Aware Service Oriented Framework for Finding, Recommending and Inserting Learning Objects

In this poster, we will propose a framework for finding, recommending and inserting learning objects in a digital repository level, exploiting the user context that is captured from the Learning Management System (LMS). The framework we propose builds on top of the ARIADNE oriented architecture for learning object repositories, abstracting from the technicalities of low level metadata and resource management. As a case study, the framework has been applied in a university learning management system (SIDWeb). The intent is to exploit contextual information from the learning management system in digital repositories.

• Type: Conference
• Year: 2006
• Where: ECTEL
• Authors: Xavier Ochoa, Stefaan Ternier, Gonzalo Parra, Erik Duval
• Keywords: ECTEL 2006, Learning Management System, Learning Object, Machine Learning, University Learning Management