Multiagent system for learning objects retrieval with context attributes
Source: International Journal of Computer Applications in Technology, Volume 33, Number 4, 4 January 2009 , pp. 320-326(7)
Publisher: Inderscience Publishers
Abstract:Educational standards that include content metadata description for materials have great potential for managing e‐learning information and content units and facilitate their interoperability and reutilisation. These open semantic and distance learning aspects contribute new and important possibilities for online education systems. The Learning Objects (LOs) paradigm focuses this new gap on the management and exchange of educational materials. This paper presents an application approach to educational content recommendation based on Learning Objects. It describes an architecture based on a multi‐agent system with a bio‐inspired algorithm rooted in self‐organisation theory. It supports the retrieval, search, selection and composition of these LOs.
Document Type: Research Article
Affiliations: 1: Sciences Faculty, Department of Computer Science and Automation, University of Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Espana. 2: Sciences Faculty, Department of Computer Science and Automation, University of Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Espana
Publication date: January 4, 2009
- The International Journal of Computer Applications in Technology addresses issues of computer applications, information and communication systems, software engineering and management, CAD/CAM/CAE, numerical analysis and simulations, finite element methods and analyses, robotics, computer applications in multimedia and new technologies, computer aided learning and training.