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AIED
2009
Springer

Intelligent Learning Object Guide (iLOG): A Framework for Automatic Empirically-Based Metadata Generation

10 years 6 months ago
Intelligent Learning Object Guide (iLOG): A Framework for Automatic Empirically-Based Metadata Generation
Abstract. We present a framework for the automatic annotation of learning objects (LOs) with empirical usage metadata. Our implementation of the Intelligent Learning Object Guide (iLOG) was used to collect interaction data of over 200 students‟ interactions with eight LOs. We show that iLOG successfully tracks student interaction data that can be used to automate the creation of meaningful empirical usage metadata that is based on real-world usage and student outcomes. Keywords., Learning Objects, Feature Selection, Association Rule Mining, Empirical Usage Metadata, SCORM
S. A. Riley, Lee Dee Miller, Leen-Kiat Soh, Ashok
Added 25 May 2010
Updated 25 May 2010
Type Conference
Year 2009
Where AIED
Authors S. A. Riley, Lee Dee Miller, Leen-Kiat Soh, Ashok Samal, Gwen Nugent
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