OERScout technology framework: A novel approach to open educational resources search

Ishan Sudeera Abeywardena, Chee Seng Chan, Choy Yoong Tham, , Web Courseworks, Oct 01, 2013
Commentary by Stephen Downes
files/images/oer_search.jpg

The educational resource search engine finds new wings in this article focused on OER disocovery. The problem with existing approaches, say the authors, is that "these methodologies depend on human annotated metadata for approximating the usefulness of a resource for a particular need." Even adding simple tags or keyswords can be a problem. "The OERScout text mining algorithm is designed to 'read' text based OER documents and 'learn' which academic domain(s) and sub-domain(s) they belong to." Results are sorted using a keyword matrix and desirability (based on license and search engine ranking fo the resource).

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