SPARFA.COM

SPARFA

Sparse Factor Analysis for Learning and Content Analytics. Developed at Rice University, SPARFA (short for SPArse Factor Analysis), is an analytical tool for large educations datasets where students interact with homework and test questions. SPARFA uses powerful statistical models to decompose educational data as consisting of a small number of educational concepts. From the concept-centric view of the data, SPARFA perform two important educational tasks:. Read SPARFA Technical Papers.

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SPARFA | sparfa.com Reviews

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Sparse Factor Analysis for Learning and Content Analytics. Developed at Rice University, SPARFA (short for SPArse Factor Analysis), is an analytical tool for large educations datasets where students interact with homework and test questions. SPARFA uses powerful statistical models to decompose educational data as consisting of a small number of educational concepts. From the concept-centric view of the data, SPARFA perform two important educational tasks:. Read SPARFA Technical Papers.

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SPARFA | sparfa.com Reviews

https://sparfa.com

Sparse Factor Analysis for Learning and Content Analytics. Developed at Rice University, SPARFA (short for SPArse Factor Analysis), is an analytical tool for large educations datasets where students interact with homework and test questions. SPARFA uses powerful statistical models to decompose educational data as consisting of a small number of educational concepts. From the concept-centric view of the data, SPARFA perform two important educational tasks:. Read SPARFA Technical Papers.

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SPARFA Technical Papers - SPARFA

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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. C...D Vats, A&#46...

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SPARFA

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Sparse Factor Analysis for Learning and Content Analytics. Developed at Rice University, SPARFA (short for SPArse Factor Analysis), is an analytical tool for large educations datasets where students interact with homework and test questions. SPARFA uses powerful statistical models to decompose educational data as consisting of a small number of educational concepts. From the concept-centric view of the data, SPARFA perform two important educational tasks:. NIPS 2014 workshop on Human Propelled Machine Le...

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Richard Baraniuk

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TED Talk and Videos. Turning Textbook Highlighting into Time Well-Spent. August 18, 2016. College students love highlighting textbook passages while they study, and a team of researchers in three states will apply the latest techniques from machine learning and cognitive science to help turn that habit into time well-spent. OpenStax uses philanthropic grants to produce high-quality, peer-reviewed textbooks that are free online and used by more than 680,000 college students at more than 2,000 colleges and...

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sparfa.com

SPARFA

Sparse Factor Analysis for Learning and Content Analytics. Developed at Rice University, SPARFA (short for SPArse Factor Analysis), is an analytical tool for large educations datasets where students interact with homework and test questions. SPARFA uses powerful statistical models to decompose educational data as consisting of a small number of educational concepts. From the concept-centric view of the data, SPARFA perform two important educational tasks:. Read SPARFA Technical Papers.

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