Hybrid multiagent system for automatic object learning classification

Abstract:

The rapid evolution within the context of e-learning is closely linked to international efforts on the standardization of learning object metadata, which provides learners in a web-based educational system with ubiquitous access to multiple distributed repositories. This article presents a hybrid agent-based architecture that enables the recovery of learning objects tagged in Learning Object Metadata (LOM) and provides individualized help with selecting learning materials to make the most suitable choice among many alternatives. © 2010 Springer-Verlag.

Año de publicación:

2010

Keywords:

• Learning Object Repositories
• e-Learning
• Emerging E-Learning Technologies
• Federated search
• Learning object metadata
• Neural networks

Fuente:

scopus