Automating open educational resources assessments: a machine learning generalization study

Authors:
Heather Leary;Mimi Recker;Andrew Walker;Philipp Wetzler;Tamara Sumner;James Martin
Affiliations:
Utah State University, Logan, UT, USA;Utah State University, Logan, UT, USA;Utah State University, Logan, UT, USA;University of Colorado, Bouler, CO, USA;University of Colorado, Boulder, CO, USA;University of Colorado, Boulder, CO, USA
Venue:
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
Year:
2011

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Abstract

Assessing the quality of online educational resources in a cost effective manner is a critical issue for educational digital libraries. This study reports on the approach for extending the Open Educational Resource Assessments (OPERA) algorithm from assessing vetted to peer-produced content. This article reports details of changes to the algorithm, comparisons between human raters and the algorithm, and the extent the algorithm can automate the review process.