Call for Papers
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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.
Important Dates
- Paper submission:
March 31, 2008April 7, 2008 (11:59pm EDT) - Acceptance notification: April 30, 2008
- Camera ready paper: May 16, 2008
- Conference: June 20-21, 2008
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 Desmarais, 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