Organized by the International Working Group on Educational Data Mining.


Université du Québec à Montréal (UQAM), Canada

Machine Learning Department at the School of Computer Science, Carnegie Melon University

Call for Papers

(Click here for a PDF version)

The First International Conference on Educational Data Mining brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented educational software, as well as state databases of student test scores, has created large repositories of data reflecting how students learn. The EDM conference focuses on computational approaches for using those data to address important educational questions. The broad collection of research disciplines ensures cross fertilization of ideas, with the central questions of educational research serving as a unifying focus. This Conference emerges from preceding EDM workshops at the AAAI, AIED, EC-TEL, ICALT, ITS, and UM conferences.

Topics of Interest

We welcome papers describing original work. Areas of interest include but are not limited to:

Important Dates

Submission Types

All submissions should follow the formatting guidelins (MS Word, PDF). There are two types of submission:

Conference Organization

Program Committee