[edm-announce] JEDM launch: a new journal on Educational Data Mining

Journal of Educational Data Mining (JEDM)
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http://educationaldatamining.org/JEDM


Call for Papers

The Journal of Educational Data Mining (JEDM) is a new international and
interdisciplinary forum of research on computational approaches for
analysing electronic repositories of student data to answer educational
questions. A number of workshops and a new conference emerged to provide a
forum for researchers and practitioners from all disciplines involved (such
as Data Mining, Education, Psychometrics, eLearning technologies, Artificial
Intelligence in Education) to share and discuss their work. The goal of JEDM
is to provide this community with a space to publish and access archival
high-quality research papers.

JEDM is scheduled to launch in 2009 and will be published online and free of
charge. We will aim for trimesterly issues.

The journal welcomes basic and applied papers describing mature work
involving computational approaches of educational data mining. Specifically,
it welcomes high-quality original work including but not limited to the
following topics: processes or methodologies followed to analyse educational
data, integrating the data mining with pedagogical theories, describing the
way findings are used for improving educational software or teacher support,
improving understanding of learners' domain representations, and improving
assessment of learners' engagement in the learning tasks. From time to time,
the journal also welcomes survey articles, theoretical articles, and
position papers, in as much as these articles build on existing work and
advance our understanding of the challenges and opportunities unique to this
area of research.
All papers should describe the supporting evidence in ways that can be
verified or replicated by other researchers to a large extent. It is
encouraged, though not required, for researchers to make their data sets,
software code, and intermediate results available to the community for
inspection and re-use. Submitted papers should also detail the data
mining/modeling/analysis component of the submitted work clearly and include
discussions of the findings in relation to educational questions.

JEDM is now seeking papers for the inaugural issue and for subsequent
issues. Whilst we welcome submissions at any time, the important dates for
the inaugural issue are:

December 2008: Intention to submit and short abstract.
10 January 2009: Full article due
20 February 2009: Notification to authors
15 March 2009: Final articles due
April 2009: Publication of inaugural issue.

Manuscripts received after this date will be considered for the next issues.

Editor-in-chief: Kalina Yacef, University of Sydney, Australia
Associate Editors: Ryan S. J. d. Baker, Carnegie Mellon University, USA
Tiffany Barnes, University of North Carolina at Charlotte, USA
Joseph E. Beck, Worcester Polytechnic Institute, USA

Submissions should be emailed as PDF to jedm.editor@xxxxxxxxxx Author
guidelines and reviewing process will be found on our website:
www.educationaldatamining.org/jedm.

All articles undertake rigorous peer review by at least three anonymous
referees. Editors will aim for a prompt overall reviewing process.

It is the policy of the journal that no submission, or substantially
overlapping submission, be published or be under review elsewhere. Papers
extending previously published conference papers are acceptable, as long as
the JEDM submission provides a significant contribution beyond the
conference paper and that the overlap is explained clearly in the JEDM
submission, with the unique contribution(s) of the JEDM submission
contrasted with that of the other paper(s).

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