International Working Group on
Educational Data Mining

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Carnegie Mellon University's PROJECT Listen has released the Bayes Net Toolkit for Student Modeling, a system which makes it easier to use Bayes Nets and Bayesian Knowledge-Tracing to model student data.

The Pittsburgh Science of Learning Center offers DataShop, a system which you can use to conduct learning curve analysis on educational data.

Ryan Baker has made available tools for Bayesian Knowledge-Tracing (with brute force), distilling data features, for using models of gaming the system, off-task behavior, and guessing and slipping, and for statistically comparing A' values.

If you have resources which you would like us to add to any of www.educationaldatamining.org's web pages, please email our website maintainer.