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Where to Next? A Comparison of Recommendation Strategies for Navigating a Learning Object Repository

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9146)

Abstract

This paper explores the initial investigation of six recommendation algorithms for deployment in SAS® Curriculum Pathways®, an online repository which houses over 1250 educational resources. The proposed approaches stem from three basic strategies: recommendations based on resource metadata, user behavior, and alignment to academic standards. An evaluation from subject experts suggests that usage-based recommendations are best aligned with teacher needs, though there are interesting domain interactions that suggest the need for continued investigation.

Keywords

Recommender systems Learning object repository Technology enhanced learning 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.SAS® Curriculum Pathways®SAS InstituteCaryUSA

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