335 citations · 535 across the 88 of their papers we have counts for
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stat.ML2014★ 4 cited
Quantized Matrix Completion for Personalized Learning
Andrew S. Lan, Christoph Studer, Richard G. Baraniuk
The recently proposed SPARse Factor Analysis (SPARFA) framework for personalized learning performs factor analysis on ordinal or binary-valued (e.g., correct/incorrect) graded lear…
stat.ML2014★ 6 cited
Tag-Aware Ordinal Sparse Factor Analysis for Learning and Content Analytics
Andrew S. Lan, Christoph Studer, Andrew E. Waters +1
Machine learning offers novel ways and means to design personalized learning systems wherein each student's educational experience is customized in real time depending on their bac…