425 citations · 1.6k across the 52 of their papers we have counts for
Showing 2013 · stat.MLShow all
2 papers · 2 filters
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…