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.
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Friesen, N.: Three Objections to Learning Objects. In: McGreal, R. (ed.) Online Education Using Learning Objects (2004), World Wide Web http://learningspaces.org/n/papers/objections.html (retrieved February 15, 2010)
Sosteric, M., Hesemeier, S.: When is a Learning Object not an Object: A First Step towards a theory of learning objects. International Review of Research in Open and Distance Learning 3(2) (October 2002)
Wiley, D.A.: Connecting learning objects to instructional design theory: A definition a metaphor, and a taxonomy. In: Wiley, D.A. (ed.) The Instructional Use of Learning Objects. Association for Educational Communications and Technology, Bloomington (2001), World Wide Web http://www.reusability.org/read/ (retrieved March 23, 2009)
Polsani, P.: Use and Abuse of Reusable Learning Objects. Journal of Digital Information, Article No. 164, 3(4) (2003)
Chiappe, A., Segovia, Y., Rincon, H.Y.: Toward an instructional design model based on learning objects. Educational Technology Research and Development 55, 671–681 (2007)
DCMI Specifications, http://dublincore.org/specifications/ (retrieved February 18, 2010)
MPEG-7, MPEG Home Page, http://mpeg.chiariglione.org/standards/mpeg-7/mpeg-7.htm (retrieved March 29)
IEEE 1484.12.1-2002, Final Draft Standard for Learning Object Metadata (LOM). The Institute of Electrical and Electronics Engineers, Inc., http://ltsc.ieee.org/wg12/files/LOM_1484_12_1_v1_Final_Draft.pdf (retrieved February 23, 2010)
Dagger, D., O’Connor, A., Lawless, S., Walsh, E., Wade, V.P.: Service-Oriented E-Learning Platforms: From Monolithic Systems to Flexible Services. IEEE Internet Computing 11(3), 28–35 (2007)
Simon, B., Massart, D., van Assche, F., Ternier, S., Duval, E., Brantner, S., Olmedilla, D.: A Simple Query Interface for Interoperable Learning Repositories. In: Workshop on Interoperability of Web-Based Educational Systems in conjunction with 14th International World Wide Web Conference (WWW 2005), Chiba, Japan (May 2005)
European Committe for Standardization, A Simple Query Interface Specification for Learning Repositories (November 2005)
Ternier, S., Massart, D., Campi, A., Guinea, S., Ceri, S., Duval, E.: Interoperability for Searching Learning Object Repositories. The ProLearn Query Language. D-Lib Magazine 14(1/2) (January/February 2008)
De la Prieta, F., Gil, A.: A Multi-agent System that Searches for Learning Objects in Heterogeneous repositories. In: Demazeau, Y., et al. (eds.) Trends in Practical Applications of Agents and Multiagent Systems: 8th International Conference on Practical Applications of Agents and Multiagent Systems (PAAMS 2010). Advances in Intelligent and Soft Computing, pp. 355–362. Springer, Heidelberg (April 2010)
Ternier, S., Verbert, K., Parra, G., Vandeputte, B., Klerkx, J., Duval, E., Ordóñez, V., Ochoa, X.: The Ariadne Infrastructure for Managing and Storing Metadata. IEEE Internet Computing 13(4), 18–25 (2009)
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Gil, A., de la Prieta, F., López, V.F. (2010). Hybrid Multiagent System for Automatic Object Learning Classification. In: Corchado, E., Graña Romay, M., Manhaes Savio, A. (eds) Hybrid Artificial Intelligence Systems. HAIS 2010. Lecture Notes in Computer Science(), vol 6077. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13803-4_8
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DOI: https://doi.org/10.1007/978-3-642-13803-4_8
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