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Towards Automatic Evaluation of Learning Object Metadata Quality

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Xavier Ochoa
Xavier Ochoa

Presentation at ER2006 about how to automatically calculate the quality of a learning object metadata

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Towards Automatic Evaluation of Learning Object Metadata Quality Xavier Ochoa, ESPOL, Ecuador Erik Duval, KULeuven, Belgium QoIS 2006
Learning Objects are … ,[object Object],IEEE LOM Standard
Learning Object Metadata Learning Object Metadata Standard
Initial growth has been slow ARIADNE
Standardization, Interoperability of Repositories and Automatic Generation of Metadata had solved the scarcity problem… …but had created new “good” ones.
The production, management and consumption of Learning Object Metadata is vastly surpassing the human capacity to review or process these metadata.
Currently there is NOT scalable Quality Evaluation of Learning Object Metadat a
Quality of Metadata ,[object Object],[object Object]
Quality of Metadata Title: “The Time Machine” Author: “Wells, H. G.” Publisher: “L&M Publishers, UK” Year: “1965” Location: ----
Quality of Metadata
Quality of Metadata
Why Measuring Quality? ,[object Object],[object Object]
How to measure Metadata Quality? ,[object Object],[object Object],[object Object],[object Object]
Metrics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
We cannot measure the quality manually anymore…
… but is a good idea to follow the same quality characteristics.
Quality Characteristics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Our Proposal: Use Metrics ,[object Object],[object Object]
Quality Metrics ,[object Object],[object Object],[object Object],[object Object],[object Object]
Quality Metrics ,[object Object],[object Object],[object Object],[object Object],[object Object]
Quality Metrics ,[object Object],[object Object],[object Object]
Quality Metrics
Evaluation of the Metrics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Evaluation Results Textual Information Content correlates highly (0.842) with human-assigned quality score
Analysis of Results ,[object Object],[object Object],[object Object]
Applications: Repository Evaluation
Applications: Quality Visualization
Automated Evaluation of Quality
Further Work ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Further Work ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Thank you, Gracias Comments, Suggestions, Critics… are Welcome! More Information: http://ariadne.cti.espol.edu.ec/M4M

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