Paper submission deadline extended: March 14, 2007
The content of this page will be available soon also at EducationalDataMining.org
CALL FOR PAPERS (in pdf) Recently, the increase in dissemination of interactive learning environments has
allowed the collection of huge amounts of data. A popular and effective way of discovering new knowledge from large
and complex data sets is data mining. As such, the EDM workshop invites papers that study how to apply data mining to
analyze data generated by learning systems or experiments, as well as how discovered information can be used to improve
adaptation and personalization. Interesting problems data mining can help to solve are: what are common types of learning
behavior (e.g. in online systems), predict the knowledge and interests of a user based on past behavior, partition a
heterogeneous group of users into homogeneous clusters, etc.
Typically, educational data sources are quite heterogeneous (e.g., web log files, interaction logs, source code,
text and dialogue data, etc.), and have variety of different scales, grain-sizes, and spatial and temporal resolution.
Though the many types of educational data often differ considerably from one another, they provide multiple types of insight
on a single domain or context and, above all, share the potential to reveal unexpected and useful knowledge concerning learners
and/or the process of learning - if correctly and coherently analyzed. Applying methods to mine the complex data that we can
collect on educational situations requires the development of new approaches that build upon techniques from a combination
of areas, including statistics, psychometrics, machine learning, and scientific computing.
The EDM'07 workshop as part of ICALT'07 aims at providing a focused international forum for researchers to present,
discuss and explore the state of the art of mining educational data and evaluating usefulness of discovered patterns for adaptation
and personalization, as well as to outline promising future research directions. The EDM'07 workshop invites submissions
addressing all aspects of educational data mining with applications for adaptation and personalization in e-learning systems.
A non-exhaustive list of topics of interest includes:
- Methods and approached for EDM
- Characteristics of educational data and how to deal with them
- Learning browsing behavior; e.g., searching for patterns in log-data from (time-series) experiments
- Data mining for user modeling
- Data mining for predicting user (potentially changing) interests
- Mining differences in user's learning behavior (e.g. between two systems)
- Mining data from A/B tests
- Application of discovered patterns for personalization and adaptation
- Description of applications
- Description of case studies and experiences
The workshop invites papers reporting experiences, case studies, surveys, reflections and comparisons.
The submission format is: either a full paper of up to 10 pages, a short paper of up to 5 pages,
or an abstract of up to 3 pages for a poster.
IMPORTANT DATES
February 28, 2007 March 14, 2007 | Submission of paper (IEEE 2-column, 10-pages maximum) |
March 30, 2007 | Notification of acceptance |
April 6, 2007 | Final 2-pages summary for publication in main ICALT proceedings camera-ready due |
April 16, 2007 | Author registration deadline |
July 18-20, 2007 | ICALT days |
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SUBMISSION PROCEDURES
All submissions will be handled electronically. Please submit your contribution (up to 10 pages)
before the submission deadline (February 28 March 14, 2007) to the EDM'07 workshop chairs by e-mail: edm.icalt07@gmail.com.
Each submission will be reviewed by at least three members of the workshop programme committee members.
All accepted workshop papers (up to 10 pages for full papers) will be published in the online workshop
proceedings edited by the general workshop chairs.
Beside this a short version of each accepted paper (2 pages long, IEEE 2-column format) will be published in the main
IEEE proceedings. Therefore, authors of accepted papers will be asked to prepare an additional short-version
camera-ready paper to be included in the main IEEE proceedings.
WORKSHOP CHAIRS
WORKSHOP PROGRAMME COMMITTEE
Ivon Arroyo | University of Massachusetts Amherst, USA |
Ryan Baker | University of Nottingham, UK |
Ari Bader-Natal | Brandeis University, USA |
Mária Bieliková | Slovak University of Technology, Slovakia |
Hao Cen | Carnegie Mellon University, USA |
Raquel M. Crespo Garcia | Carlos III University of Madrid, Spain |
Christophe Croquet | Université du Maine, France |
Rebecca Crowley | University of Pittsburgh, USA |
Paul De Bra | Eindhoven University of Technology, the Netherlands |
Mingyu Feng | Worcester Polytechnic Institute, USA |
Elena Gaudioso | Universidad Nacional de Educación a Distanzia, Spain |
Sabine Graf | Vienna University of Technology, Austria |
Wilhelmiina Hämälainen | University of Joensuu, Finland |
Judy Kay | University of Sydney, Australia |
Manolis Mavrikis | University of Edinburgh, UK |
Agathe Merceron | University of Applied Sciences Berlin, Germany |
Maria Milosavljevic | Macquarie University, Sydney, Australia |
Kaska Porayska-Pomsta | University of Edinburgh, UK |
Genaro Rebolledo-Mendez | University of Sussex, UK |
Cristobal Romero | Universidad de Córdoba, Spain |
Amy Soller | USA |
Alexey Tsymbal | Siemens AG, Germany |
Marie-Helene Ng Cheong Vee | Birkbeck University of London, UK | |
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