First International Conference on Educational Data Mining

Important Dates

Paper submission: March 31, 2008

Acceptance notification: April 30, 2008

Camera ready paper: May 16, 2008

Conference: June 20-21, 2008

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:

• Improving educational software. Many large educational data sets are generated by computer software. Can we use our discoveries to improve the software’s effectiveness?
• Domain representation. How do learners represent the domain? Does this representation shift as a result of instruction? Do different subpopulations represent the domain differently?
• Evaluating teaching interventions. Student learning data provides a powerful mechanism for determining which teaching actions are successful. How can we best use such data?
• Emotion, affect, and choice. The student’s level of interest and willingness to be a partner in the educational process is critical. Can we detect when students are bored and uninterested? What other affective states or student choices should we track?
• Integrating data mining and pedagogical theory. Data mining typically involves searching a large space of models. Can we use existing educational and psychological knowledge to better focus our search?
• Improving teacher support. What types of assessment information would help teachers? What types of instructional suggestions are both feasible to generate and would be welcomed by teachers?
• Replication studies. We are especially interested in papers that apply a previously used technique to a new domain, or that reanalyze an existing data set with a new technique.

Submission Types

All submissions should follow the formatting guidelins (MS Word, PDF). There are two types of submission: Full papers: Maximum of 10 pages. Should describe substantial, unpublished work Young researcher: Maximum of 8 pages. Designed for graduate students and undergraduates

Conference Organization

Conference Chair: Tiffany Barnes, University of North Carolina Charlotte, USA

Program Chairs: Ryan S. J. de Baker, Carnegie Mellon University, USA; Joseph E. Beck, Worcester Polytechnic Institute, USA

Local Arrangements Chair: Michel Desmáris, Ecole Polytechnique de Montreal, Canada

Web Chair: Arnon Hershkovitz, Tel Aviv University, Israel

Program Committee

Anjo Anjewierden, University of Twente, The Netherlands Esma Aïmeur, University of Montreal, Canada Ivon Arroyo, University of Massachusetts Amherst, USA Bettina Berendt, University of Berlin, Germany Christophe Choquet, Université du Maine, France Cristina Conati, University of British Columbia, Canada Janice Gobert, Worcester Polytechnic Institute, USA Neil Heffernan, Worcester Polytechnic Institute, USA Brian Junker, Carnegie Mellon University, USA Judy Kay, University of Sydney, Australia Kenneth Koedinger, Carnegie Mellon University, USA Brent Martin, Canterbury University, New Zealand Noboru Matsuda, Carnegie Mellon University, USA Gord McCalla, University of Saskatchewan, Canada Bruce McLaren, Deutsches Forschungszentrum für Künstliche Intelligenz, Germany Tanja Mitrovic, Canterbury University, New Zealand Cristóbal Romero Morales, Cordoba University, Spain Mykola Pechenizkiy, Eindhoven University of Technology, Netherlands Kaska Porayska-Pomsta, London Knowledge Laboratory, UK Carolyn Rosé, Carnegie Mellon University, USA Carolina Ruiz, Worcester Polytechnic Institute, USA Sebastián Ventura Soto, Cordoba University, Spain Steven Tanimoto, University of Washington, USA Silvia Viola, Universita' Politecnica delle Marche, Italy Kalina Yacef, University of Sydney, Australia