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

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

Contenido principal del artículo

Ronaldo Lima Rocha Campos
Rafaela Lunardi Comarella
Ricardo Azambuja Silveira

Resumen

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. 

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Detalles del artículo

Biografía del autor/a (VER)

Ronaldo Lima Rocha Campos, University of santa Catarina

Mestre em Ciência da Computação

Rafaela Lunardi Comarella, UFSC

Mestre em Ciência da Computação

Ricardo Azambuja Silveira, UFSC

Doutor em Ciência da
Computação

Referencias (VER)

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]

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

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].

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.

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].

Dublin Core (2011) The Dublin Core Metadata Initiative. [online] Available at http://dublincore.org/ [Accessed: 2 Jun. 2011]

Euzenat, J., Shvaiko, P (2007). Ontology Matching. Heidelberg: Springer-Verlag Berlin, 2007.

Fabre, M. C. J. M.; Tarouco, L. M. R. and Tamusiunas, F. R. (2003)

Reusabilidade de objetos educacionais. RENOTE - Revista Novas Tecnologias na Educação. Porto Alegre: Centro Interdisicplinar de Novas Tecnologias na Educação (UFRGS), v. 1, n. 1, 2003.

FEB (2012) Federation of Educa Brazil. [online] Available at http://feb.ufrgs.br/[Accessed: 2 Jan 2012].

Gil A.B., De La Prieta F. and Rodríguez S. (2011) Automatic Learning Object Extraction and Classification in Heterogeneous Environments. In:Highlights in Practical Applications of Agents and Multiagent Systems 9th International Conference on Practical Applications of Agents and Multiagent Systems, 2011, Volume 89/2011, 109-116.

GroupLens: An Open Architecture for Collaborative Filtering of Netnews. In: Proceedings of ACM 1994 Conference on Computer Supported Cooperative Work, 1994, Chapel Hill, North Carolina. Anais. ACM. p.175–186.

IEEE-LTSC (2002). Draft Standard for Learning Object Metadata

[Online]. IEEE Learning Technology Standards Committee, 2002. Available at http://ltsc.ieee.org/wg12/files/ LOM_1484_12_1_v1_Final_Draft. pdf [Accessed: 10 mai 2011]

IEEE-LTSC (2005). WG12: Learning Object Metadata [online] IEEE Learning Technology Standards Committee, 2005. Available at http://ltsc.ieee.org/wg12/ [Accessed: 2 Jun 2010].

IMS (2010) IMS Global Learning Consortium, 2010.[online] Available at http://www.imsglobal.org/ [Accessed: 2 Tue 2010].

ISO 15836: 2009 (2009)- Information and documentation - The Dublin Core metadata element set, Intec, 2009. 16. JADE (2010) Java Agent Development Framework), 2010. [online] Available at http://jade.tilab.com/ [Accessed: 3 Jan 2010].

JENA (2010) Jena - A Semantic Web Framework for Java, 2010. [online] Available at [http://jena.sourceforge.net/ . [Accessed: 3 Tue. 2010]

Li S.; Yang Z.; Liu Q.; Huang T. (2008) Research of web information retrieval based on metadata and OAI, Granular Computing, 2008. GrC 2008. IEEE International Conference on, vol., no., pp.383-386, 26-28 Aug. 2008 doi: 10.1109/GRC.2008.4664693 19. LUME (2010). Lume - Repository of the Federal University of Rio Grande do Sul.[online] Available at http://www.lume.ufrgs.br/ [Accessed: 10 Feb 2010]

Manouselis, N., Vuorikari, R., and Van Assche, F. (2007).Simulated Analysis of Collaborative Fil-tering for Learning Object Recommendation. SIRTEL Workshop, EC-TEL 2007.

McCalla, G. (2004) The Ecological Approach to the Design of E-Learning Environments: Purpose-based Capture and Use of Information about Learners. Journal of Interactive Media in Education, 2004 (7) Special Issue on the Educational Semantic Web. Volume 1, p. 18.

McGreal, R. (2004) Online Education Using Learning Objects. London: Routledge.

MERLOT (2010) Multimedia Educational Resources for Learning and Online Teaching.[online] Available at http://www.merlot.org/merlot/index.htm [Accessed: 10 Nov. 2010].

MOONEY, R.; BENNETT, P.; ROY, L.(1998) Book recommending using text Categorization with extracted information.

Nash, SS (2005) Learning Objects, Learning Object Repositories, and Learning Theory: Preliminary Best Practices for Online Courses. Interdisciplinary Journal of Knowledge and Learning Objects, New York, 2005.

NISO (2004). Understanding Metadata. [online] National Information Standards Organization. Press. ISBN: 1-880124-62-9. 2004 Available at http://www.niso.org/publications/press/UnderstandingMetadata.pdf [Accessed:10 Jun 2011]

NISO (2007) ANSI/NISO Z39.85 -The Dublin Core Metadata Element

Set. National Information Standards Organization. Available at http://www. i s o . o r g / i s o / i s o _ c a t a l o g u e /catalogue_ics/catalogue_detail_ics.htm?csnumber=52142 [Accessed: 10 Jun 2011]

OAI. Open Archives Initiative, 2010. Available at http://www.openarchives. org/. [Accessed: 12 Apr 2010]

Obaa (2010) Projeto Objetos de Aprendizagem Baseados em Agentes (Obaa). [online] Available at http://www.portalobaa.org/obaac/padraoobaa/relatorios-tecnicos/RT-OBAA-01.pdf [Accessed: 10 Nov 2010].

PAZZANI, M. J.(1999) A Framework for Collaborative, Content-Based and Demographic Filtering. Artificial Intelligence Review, [S.l.], v.13, n.5-6, p.393–408, 1999.

Primo, T.; Loh, S. (2006). Técnicas de Recomendação para usuários de Bibliotecas Digitais. in Simpósio Brasileiro de Sistemas de Informação. Curitiba, PR, novembro de 2006.

Protégé (2010). Protégé Ontology Editor. [online] Available at http://protege.stanford.edu/ [Accessed: 10 Jan 2010].

RESNICK, P.; IACOVOU, N.; SUCHAK, M.; BERGSTORM, P.; RIEDL, J.(1994)

RESNICK, P.; VARIAN, H. R.(1997) Recommender systems. Commun. ACM, New York, NY, USA, v.40, n.3, p.56–58.

RIVED (2010) - Interactive Virtual Education Network. [online] Available at http://rived.mec.gov.br/site_objeto_lis.php [Accessed: 10 apr 2010].

Russel, S. and Norvig, P (2004). Artificial Intelligence. Elvesier, 2ª ed, 2004.

Schafer, J. Ben; Konstan, Joseph; RIEDL, John. Recommender Systems. In: Conference on Electronic Commerce, 2000, Minneapolis.

SCORM (2011). SCORM 2004 Overview for Developers. [online] Available at technical-scorm/scorm-2004-overviewfor- developers/ [Accessed: 3 Jun 2011].

Tarrant D., O’Steen B., Brody T.,Hitchcock S., Jefferies N. and Carr L.(2009). Using OAI-ORE to Transform Digital Repositories into Interoperable Storage and Services Applications. [online] In: code{4}lib Journal. Issue 6. March 2009. Available at http://journal.code4lib.org/articles/1062 [Accessed: 14 Jul 2011].

Vian J., Silveira R.A. (2011) Multiagent System for Indexing and Retrieving Learning Objects. In: Highlights inPractical Applications of Agents and Multiagent Systems Advances in Intelligent and Soft Computing, 2011, Volume 89/2011, 53-60, DOI: 10.1007/978-3-642-19917-2_7

Wiley, D. (2000). Connecting learning objects to instructional design theory: A definition, a metaphor, and a taxonomy. In D. A. Wiley (Ed.), The instructional use of learning objects [Online]. Available at: http://reusability.org/read/chapters/wiley.doc [Accessed: 10 jul.

Wooldridge, M. An Introduction to Multiagent Systems. England: John Wiley, 2002.