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.
CITATION STYLE
Sabourin, J., Kosturko, L., & McQuiggan, S. (2015). Where to next? A comparison of recommendation strategies for navigating a learning object repository. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9146, pp. 208–215). Springer Verlag. https://doi.org/10.1007/978-3-319-20267-9_17
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