Publications

• Proposed Errata Procedure
• Publication Ethics and Malpractice Statement
• EDM 2022
  • Author/Reviewer Checklist
  • Publishing Agreement
  • Submission templates:
    • Microsoft Word template
    • LaTeX template

Freely Available Educational Data Sets

• LearnLab DataShop – registration is free but required, data sets can be analyzed online or downloaded for offline analysis

Sharing Your Own Data

• If you choose to make your data freely available, you can place it on your website, and email us to link it.
• Contact LearnLab 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

Tools to Support Educational Data Mining

• 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.
• LearnLab 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.
• LearnSphere.org offers a web-based tool for authoring, sharing, and reusing analytic workflows and analytic components that can be recombined into new workflows.

Notes from Discussions at EDM Workshops

• 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)