Educational Data Mining

• Pittsburgh Science of Learning Center DataShop - registration is free but required, data sets can be analyzed online or downloaded for offline analysis

• If you choose to make your data freely available, you can place it on your website, and email us to link it.
• Contact the Pittsburgh Science of Learning Center to see if your data qualifies for inclusion into their DataShop.
• If you choose to share your data privately with colleagues, we have developed a standardized data sharing agreement which you can use, or adapt, when sharing data

• 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.

• Notes on what data researchers log (from a workshop at ITS 2006)
• Notes on what data researchers distill, before mining (from a workshop at ITS 2006)

The EDM-ANNOUNCE and EDM-DISCUSS mailing lists are also maintained to support this research community. 

If you have other resources which you would like us to add please email our website maintainer.