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Formación universitaria

On-line version ISSN 0718-5006

Abstract

VARGAS-ARCILA, Angela M; BALDASSARRI, Sandra  and  ARCINIEGAS, José L. Analysis of Metadata Schemas for Marking Up Educational Content. Form. Univ. [online]. 2016, vol.9, n.5, pp.85-96. ISSN 0718-5006.  http://dx.doi.org/10.4067/S0718-50062016000500009.

This paper presents an analysis of the most relevant metadata schemas for marking up educational content found on the Web: LOM, MLR, LRMI, DC-Ed AP and EdNA. The results of this analysis are summarized in a plot that relates the different schemes and in a table in which the main characteristic are compared. LOM is the standard of metadata with the highest impact on e-learning and continue being used. However, the great amount of application profiles that have been implemented, gives an indication about its incapacity of supporting the needs of different educational contexts. It is also found that MLR and LRMI are the current standards that introduce educational elements absent in older schemas.

Keywords : metadata schema; educational content; LOM; MLR; LRMI; DC-Ed AP; EdNA.

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