metadata analysis as a criterion for quality in e-learning

Clicks: 252
ID: 212878
2012
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Star

Ranked #6 of 6 articles by views in mycology

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Metadata describes learning objects LO and whole courses which are widely used in various e learning systems. Different specifications of metadata describe schemes, including Dublin Core (DC), IMS and Learning Object Metadata (LOM). They define fields that can be used for qualitative verification of described objects or courses. In this way it will be possible both quick evaluations of subjects included in courses and learning objects LO, as well as structure, accuracy, method of teaching or working. Proper metadata analysis allows the assessment of whole educational process, which is built on the basis of learning objects LO. This enables rapid evaluation of planned or already performed courses of distance learning.
Reference Key
meger2012eduactionmetadata Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Zbigniew Meger
Journal mycology
Year 2012
DOI
DOI not found
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.