EDM 2013 - The Sixth International Conference on Educational Data Mining

EDM2013: The Sixth International Conference on Educational Data Mining
6-9 July 2013 in Memphis, Tennessee, USA
http://edm2013.memphis.edu/
Overview
We invite submissions to the 6th International Conference on
Educational Data Mining (EDM2013), to be held on 6-9 July 2013 in
Memphis, Tennessee, USA. EDM 2013 will precede the 16th International
Conference on Artificial Intelligence in Education (AIED2013), 9-13
July 2012, at the same location. The main EDM conference will be on
6-8 July, with July 9 devoted to workshops and will overlap with AIED
2013 worskshops.
The EDM 2013 conference is organized under the auspices of the
International Educational Data Mining Society. The EDM conference
series is the leading international forum for high quality research
that mines large sets of educational data to answer educational
research questions. These data sets may come from the behavioral
traces that students leave when they use learning management systems,
interactive learning environments, intelligent tutoring systems, or
data from sensors that record their physical behaviors (e.g. webcams,
eye trackers) and physiological patterns (e.g., electrodermal
response, EEG). EDM is a highly multidisciplinary conference bringing
together researchers from computer science, artificial intelligence in
education, intelligent tutoring systems, education, learning sciences,
psychometrics, statistics and cognitive psychology.
The theme of the EDM 2013 conference is “Engaged Interactions:
Developing and Sustaining Engagement during Learning”. Developing and
maintaining student engagement is one of the biggest challenges in all
learning situations. Educational researchers have typically studied
student engagement at relatively long time scales (e.g., over an
entire course or activity), while psychologists and computer
scientists have primarily focused on the moment-to-moment dynamics of
engagement. In both cases behavioral data (e.g., log files,
interaction pattern, sensor data) can be used to understand what
engages different students in different circumstances and to design
interactions that aim to maximize engagement and task persistence. We
especially welcome papers that use EDM techniques to investigate all
facets of engagement.
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 effectiveness of educational software?
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 pedagogical interventions. Student learning data provides a
powerful mechanism for determining which pedagogical actions are
successful. How can we best use such data?
Affect and learning. Students’ affective states can facilitate or
hinder the learning process. Can we detect when students are bored or
frustrated and intervene accordingly? Can we identify pedagogical
actions that increase engagement, interest, and curiosity?
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 this 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. Replication is a critical component of the
scientific method. Do previously used techniques generalize to new
domains?
Best practices for adaptation of standard data mining techniques to
EDM, information retrieval, recommender systems, opinion mining, and
question answering
Submission Categories
Submissions are accepted to the following categories.
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 (2 pages). Should describe original and unpublished work in
progress and last minute results.
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. Students should be first authors on Doctoral
consortium papers.
Demos (2 pages). Demos describe educational data mining tools and
systems, or educational systems that use EDM techniques.
Workshop and tutorial proposals (up to 3 pages). Workshops provide
opportunities for people with common EDMs interests to meet and
exchange ideas. Tutorials are more oriented to introducing new (or
existing) ideas to a group of people in the community.
Preparing and Submitting Papers
All submissions should follow the ACM SIG KDD Explorations.
Templates can be downloaded here: Word, LaTex ).
(Please see website http://edm2013.memphis.edu/ for more details)
Submissions will be accepted through easychair
(https://www.easychair.org/conferences/?conf=edm201...)
Dates and Deadlines
Full/Short papers and Doctoral Consortium papers
Feb 22 full/short papers due
March 8 doctoral consortium papers due
April 15 full/short papers and doctoral consortium acceptance notification
May 15 camera-ready full/short and doctoral consortium papers due
Posters and Demos
May 1 posters and demos due
May 15 acceptance notification for posters and demos
May 21 camera-ready posters and demo papers due
Workshops and Tutorials
Jan 21 workshop/tutorials proposal due
Feb 11 workshop/tutorial proposal decisions
April 1 paper submissions for workshops
May 15 acceptance notifications for workshop papers
Organizers
Conference Chairs (Andrew Olney, Philip Pavlik, and Art Graesser)
Program Chairs (Sidney D’Mello and Rafael A. Calvo)
Workshop/Tutorial Chairs (Kristy Boyer and Usef Faghihi)
Young Researchers Track (Tiffany Barnes and Davide Fossati)
Interactive Events/Demos (Noboru Matsuda and Sebastian Soto)
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Sidney D'Mello
Assistant Professor
Department of Computer Science
Department of Psychology
University of Notre Dame
Notre Dame, IN 46556
Phone:574-631-8322
http://www.nd.edu/~sdmello