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Everything about Learning object metadata

Data model

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). Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Learning object metadataA 5-minute orientation
  2. Skim a recent paper: Research on the Optimization of Digital Object System by Integrating Metadata Standard and Machine Learning AlgorithmInfluential work since 2022
  3. Pick up a classic book: Computational Intelligence and Decision MakingThe most-reprinted book on the subject
  4. Read the landmark paper: Quality assurance for digital learning object repositories: issues for the metadata creation processCited 50 times
  5. Go sideways: IMS VDEXA closely related topic
  6. Go sideways: ISO/IEC 19788A closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics