1.3k citations · 4.9k across the 150 of their papers we have counts for
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stat.ML2013
Time-varying Learning and Content Analytics via Sparse Factor Analysis
Andrew S. Lan, Christoph Studer, Richard G. Baraniuk
We propose SPARFA-Trace, a new machine learning-based framework for time-varying learning and content analytics for education applications. We develop a novel message passing-based…
stat.ML2013★ 8 cited
Joint Topic Modeling and Factor Analysis of Textual Information and Graded Response Data
Andrew S. Lan, Christoph Studer, Andrew E. Waters +1
Modern machine learning methods are critical to the development of large-scale personalized learning systems that cater directly to the needs of individual learners. The recently d…