To date, several SPARFA papers have been published in the machine learning community. Here we link to several of these papers for those interested in learning more about the technical aspects of the SPARFA project. Check back frequently, as we will be frequently updating this page with new SPARFA material.
The Original SPARFA Paper:
Sparse Probit Factor Analysis for Learning Analytics:
Joint Topic Modeling with SPARFA:
Reducing Test Size with SPARFA:
D. Vats, C. Studer, A. S. Lan, L. Carin, and R. G. Baraniuk, "TeSR: Test-size Reduction for Concept Estimation", Intl. Conf. on Educational Data Mining (EDM), 2013.D. Vats, C. Studer, A. S. Lan, L. Carin, and R. G. Baraniuk, "TeSR: Test-size Reduction via Sparse Factor Analysis", Preprint, 2014.
One-Bit Matrix Completion for Educational Datasets:
Detecting Collaboration in Educational Datasets with SPARFA:
Bayesian Nonparametric SPARFA:
Ranked Peer Grading:
SPRITE -- A New Response Model:
Personalized Learning Action Selection:
Response Validity Detection in Short-answer Textual Questions: