Model of Recommendation System for for Indexing and Retrieving the Learning Object based on Multiagent System-Reference-Cited by-同舟云学术

Model of Recommendation System for for Indexing and Retrieving the Learning Object based on Multiagent System

Published:2012-07-01 Issue:2 Volume:17 Page:21-30
ISSN:2422-5053
Container-title:Respuestas
language:
Short-container-title:Respuestas

Author:

Rocha Campos Ronaldo Lima,Lunardi Comarella Rafaela,Azambuja Silveira Ricardo

Abstract

This paper proposes a multiagent system application model for indexing, retrieving and recommendation learning objects stored in different and heterogeneous repositories. The objects within these repositories are described by filled fields using different metadata standards. The searching mechanism covers several different learning object repositories and the same object can be described in these repositories by the use of different types of fields. Aiming to improve accuracy and coverage in terms of recovering a learning object and improve the signification of the results we propose an information retrieval model based on the multiagent system approach and an ontological model to describe the knowledge domain covered.Keywords: AI in education, multi-agent systems, learning objects, recommendation systems.

Publisher

Universidad Francisco de Paula Santander

Reference43 articles.

1. Bargmeyer B.E.and Gillman D.W (2011). Metadata Standards and Metadata Registries: An Overview. Available at http://www.bls.gov/ore/pdf/st000010.pdf [Accessed: 10 Jul 2011]

2. Bioethanol (2010) Bank for International Educational Objects, 2008. Available at http://objetoseducacionais2.mec.gov.br/[Accessed: 10 May 2010].

3. CESTA (2010) Collection of Entities Support the use of Technology in Learning. Center for Interdisciplinary Studies in New Technologies in Education (CINTED), 2010. Available at http://www.cinted.ufrgs.br/CESTA/ [Accessed: 2 April 2010].

4. DeLoach, S A; Ojeda, J C G; Valenzuela, J.; Oyenan, W H (2007) Organizationbased Multiagent System Engineering (O-MASE) - Description Framework. Manhattan: Kansas State University,2007.

5. Downes, S (2001) Learning Objects:Resources for distance education worldwide. [online] The International Review of Research in Open and Distance Learning, v. 2, n. 1, DSpace (2010). Available at http://www.dspace.org/ [Accessed: 10 April 2010].