Adopting the metadata approach to improve the search and analysis of educational resources for online learning

摘要: Provides an empirical analysis of the largest collection learning resource metadata.Describes new insights in how educational resources are classified and described.Discusses context reuse sharing resources. The emergence large collections created through harvesting aggregation metadata raises important concerns on suitability descriptions as provided schemas. For purposes, both teachers students usually seek information their own, vast majority search that they do engines like Google is driven by multiple keywords or classifications. Therefore this type metadata-based could help them obtain better results related to looking for provide basis collaborative environments which enable knowledge terms web-based systems. This paper reports exploratory study based availability classifications improve between from a sample obtained Global Learning Objects Brokered Exchange (GLOBE).