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 ìFrom Data to Information: Empowering Learning Environments and Settingsî. 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 computing.
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
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 softwareís 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 studentís 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.
- 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 (All submissions should follow the ACM SIG KDD Explorations (Word, LaTex <.tex, .cls, example>).
- 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 validation.
- 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 studentís research topic, proposed contributions, results so far, and aspects of the research on which advice is sought. Should be solely authored by the student.
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 full and short paper 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 ORGANIZERS Conference chair
John Stamper, Carnegie Mellon University
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
Michael Bett, Carnegie Mellon University