Abstract
Learning object metadata is considered crucial for the right management of learning objects stored in public repositories. Search operations, in particular, rely on the quality of these metadata as an essential precondition for finding results adequate to users requirements and needs. However, learning object metadata are not always reliable, as many factors have a negative influence in metadata quality (human annotators not having the minimum skills, unvoluntary mistakes, lack of information, for instance). This paper analyses human-generated learning object metadata records described according to the IEEE LOM standard, identifies the most significant errors committed and points out which parts of the standard should be improved for the sake of quality.
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References
Barton, J., Currier, S., Hey, J.M.N.: Building quality assurance into metadata creation: an analysis based on the learning objects and e-prints communities of practice. In: 2003 Dublin Core Conference: Supporting Communities of Discourse and Practice - Metadata Research and Applications, Seattle, Washington, USA, September 28 - October 2 (2003)
Brasher, A., McAndrew, P.: Human-Generated Learning Object Metadata. In: Meersman, R., et al. (eds.) OTM-WS 2004. LNCS, vol. 3292, pp. 723–730. Springer, Heidelberg (2004)
Currier, S., Barton, J., O’Beirne, R., Ryan, B.: Quality assurance for digital learning object repositories: issues for the metadata creation process. ALT-J: Research in Learning Technology 12(1), 5–20 (2004)
Farance, F.: IEEE LOM Standard Not Yet Ready For ”Prime Time”. IEEE Learning Technology newsletter 5(1) (2004), http://lttf.ieee.org/learn_tech/issues/january2003/index.htm
IEEE, IEEE Standard for Learning Object Metadata (2002), http://ltsc.ieee.org/doc/wg12/
Cáceres Tello, J.: Estudio exploratorio de defectos en registros de metadatos IEEE LOM de objetos de aprendizaje. In: Post-Proceedings of SPDECE 2007 - IV Simposio Pluridisciplinar sobre Diseño, Evaluación y Desarrollo de Contenidos Educativos Reutilizables, Bilbao, Spain, September 19-21 (2007)
Sicilia, M., Garcia, E.: On the concepts of usability and reusability of learning objects. The International Review of Research in Open and Distance Learning 4(2) (October 2003)
Cardinaels, K., Meire, M., Duval, E.: Automating metadata generation: the simple indexing interface. In: Proceedings of the 14th international Conference on World Wide Web. WWW 2005, Chiba, Japan, May 10 - 14, pp. 548–556. ACM, New York (2005)
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Cechinel, C., Sánchez-Alonso, S., Sicilia, M.Á. (2009). Empirical Analysis of Errors on Human-Generated Learning Objects Metadata. In: Sartori, F., Sicilia, M.Á., Manouselis, N. (eds) Metadata and Semantic Research. MTSR 2009. Communications in Computer and Information Science, vol 46. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04590-5_6
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DOI: https://doi.org/10.1007/978-3-642-04590-5_6
Publisher Name: Springer, Berlin, Heidelberg
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