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Overview of content related to 'ieee lom'

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This page provides an overview of 1 article related to 'ieee lom'. 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: IEEE LOM)

Key statistics

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

  • Number of articles referring to 'ieee lom': 12 (0.7% of published articles)
  • Total references to 'ieee lom' across all Ariadne articles: 27
  • Average number of references to 'ieee lom' per Ariadne article: 2.25
  • Earliest Ariadne article referring to 'ieee lom': 1999-06
  • Trending factor of 'ieee lom': 0 (see FAQs on monitoring of trends)

See our 'ieee 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 'ieee lom' usage charts. Usage chart icon

Top authors

Ariadne contributors most frequently referring to 'ieee lom':

  1. sarah currier (see articles on this topic by this author)
  2. rachel heery (see articles on this topic by this author)
  3. rosemary russell (see articles on this topic by this author)
  4. pete johnston (see articles on this topic by this author)
  5. tracy gardner (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

Metadata (2): Towards Consensus on Educational Metadata

Paul Miller describes the work of the UK's new cross-sectoral Metadata for Education Group (MEG) and calls for widespread support of their first deliverable: the MEG Concord.

March 2001, issue27, regular column

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by Dr. Radut