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EDM 2012 : The 5th International Conference on Educational Data Mining


Conference Series : Educational Data Mining
When Jun 19, 2012 - Jun 21, 2012
Where Chania, Crete, Greece
Submission Deadline Feb 5, 2012
Categories    data mining

Call For Papers

Call for Papers

EDM 2012: The Fifth International Conference on Educational Data Mining
19-21 June 2012 in Chania, Crete, Greece

We invite submissions to the 5th International Conference on
Educational Data Mining (EDM2012), to be held on 19-21 June 2012 in
Chania, Crete, Greece.

The EDM 2012 conference is organized under the auspices of the
International Educational Data Mining Society.

The EDM 2012 conference is a leading international forum for high
quality research that mines large data sets of educational data to
answer educational research questions. These datasets may come from
learning management systems, interactive learning environments,
intelligent tutoring systems, or any system used in a learning
context. EDM 2012 is a highly disciplinary conference that brings
together researchers from computer science, machine learning and data
mining, artificial intelligence in education, intelligent tutoring
systems, education, learning sciences, psychometrics, statistics and
cognitive psychology.

The theme of the EDM 2012 conference is ?From Data to Information:
Empowering Learning Environments and Settings?. We particularly
solicit submissions that describe how EDM approaches transform the
educational setting and empirical studies.

EDM may require adaptation of existing or development of new
approaches that build upon techniques from a combination of areas,
including but not limited to statistics, psychometrics, machine
learning, information retrieval, recommender systems and scientific

EDM 2012 will immediately follow the Eleventh International Conference
on Intelligent Tutoring Systems (ITS 2012), 14-18 June 2012, at the
same location.


Topics of interest to the conference include, but are not limited to:

- Generic frameworks, methods and approaches for EDM
- 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
sub-populations 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
- 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.
- Best practices for adaptation of data mining techniques to EDM,
information retrieval, recommender systems, opinion mining, and
question answering techniques


All submissions should follow the ACM SIG KDD Explorations submission format
(examples at the website)

- Full papers (up to 8 pages). Should describe original,
substantive, mature and unpublished work.
- Short papers (4 pages). Should describe original, highly
promising and unpublished work, whose merit will be assessed in terms
of originality and importance rather than maturity and technical
- Posters and Demos (2 pages). Posters describe original and
unpublished work in progress and last minute results. Demos describe
educational data mining tools and systems, or educational systems that
use EDM techniques.
- Doctoral consortium (up to 3 pages). Should describe the
graduate/postgraduate student?s research topic, proposed
contributions, results so far, and aspects of the research on which
advice is sought. Should be solely authored by the student.

Submissions will be accepted through easychair

Each submitted paper will be reviewed by at least three reviewers.
Accepted papers will be published in the EDM2012 proceedings and will
also appear online on this website.


5 February 2012, Abstract submissions due
12 February 2012, Full and short paper submissions due
19 February 2012, Doctoral consortium submissions due
2 April 2012, Notification of acceptance (Full, short, doctoral consortium)
5 April 2012, Poster and demo submissions due
16 April 2012, Notification of acceptance (Posters and demos)
22 April 2012, Final papers due
19-21 June 2012, Conference days


Conference chair
John Stamper, Carnegie Mellon University

Program chairs
Kalina Yacef, University of Sydney
Osmar Zaiane, University of Alberta

Poster and demo chairs
Arnon Hershkovitz, Worcester Polytechnic Institute
Michael Yudelson, Carnegie Mellon University

Doctoral Consortium chairs
Art Graesser, University of Memphis
Zachary Pardos, Worcester Polytechnic Institute

Web chair
Michael Bett, Carnegie Mellon University

Local Organization
Kitty Panourgia, Neoanalysis

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