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Overview of content related to 'lom'

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This page provides an overview of 2 articles related to 'lom', listing most recently updated content first. Note that filters may be applied to display a sub-set of articles in this category (see FAQs on filtering for usage tips). Select this link to remove all filters.

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Learning Object Metadata is a data model, usually encoded in XML, used to describe a learning object and similar digital resources used to support learning. The purpose of learning object metadata is to support the reusability of learning objects, to aid discoverability, and to facilitate their interoperability, usually in the context of online learning management systems (LMS). (Excerpt from Wikipedia article: Learning Object Metadata)

Key statistics

Metadata related to 'lom' (as derived from all content tagged with this term):

  • Number of articles referring to 'lom': 22 (1.3% of published articles)
  • Total references to 'lom' across all Ariadne articles: 190
  • Average number of references to 'lom' per Ariadne article: 8.64
  • Earliest Ariadne article referring to 'lom': 1999-06
  • Trending factor of 'lom': 0 (see FAQs on monitoring of trends)

See our 'lom' overview for more data and comparisons with other tags. For visualisations of metadata related to timelines, bands of recency, top authors, and and overall distribution of authors using this term, see our 'lom' usage charts. Usage chart icon

Top authors

Ariadne contributors most frequently referring to 'lom':

  1. jean godby (see articles on this topic by this author)
  2. sarah currier (see articles on this topic by this author)
  3. pete johnston (see articles on this topic by this author)
  4. phil barker (see articles on this topic by this author)
  5. andy powell (see articles on this topic by this author)

Note: Links to all articles by authors listed above set filters to display articles by each author in the overview below. Select this link to remove all filters.

Title Article summary Date

DC 2006: Metadata for Knowledge and Learning

Julie Allinson, Rachel Heery, Pete Johnston and Rosemary Russell report on DC 2006, the sixth international conference on Dublin Core and Metadata Applications, held 3 - 6 October 2006.

October 2006, issue49, event report

Application Profiles: Mixing and Matching Metadata Schemas

Rachel Heery and Manjula Patel introduce a means of establishing a common approach to sharing information between implementers and standards makers.

September 2000, issue25, feature article

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