Abstract
Assessing quality of learning resources is a difficult and complex task that often revolve around multiple and different aspects that must be observed. In order to evaluate quality, it is necessary to consider the particular spectrum of users and the particular set of criteria used by these users to value the resources. Existing approaches for assessing LOs quality are normally based on broadly interpreted dimensions that can be subject of divergence among different evaluators. The present work identifies lower-level and easily quantifiable measures of learning objects that are associated to quality with the aim of providing a common and free from ambiguities ground for LO quality assessment.
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Cechinel, C., da Silva Camargo, S., Sánchez-Alonso, S., Sicilia, MÁ. (2012). On the Search for Intrinsic Quality Metrics of Learning Objects. In: Dodero, J.M., Palomo-Duarte, M., Karampiperis, P. (eds) Metadata and Semantics Research. MTSR 2012. Communications in Computer and Information Science, vol 343. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35233-1_5
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DOI: https://doi.org/10.1007/978-3-642-35233-1_5
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