Submission
Call for Papers Print
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 published its first issue in November 2009 and is published online and free of charge.
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Submission Guidelines Print
The Journal of Educational Data Mining 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.
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Review Process Print
Upon submission, the editor will verify that the article can be read and is within the scope of the journal. Then an Associate Editor will take responsibility for handling the review process. The Associate Editor sends the title and abstract of the article to JEDM’s Editorial Board as well as other qualified referees, in order to solicit volunteers for a review. The full article is then assigned to 3-4 carefully selected and balanced reviewers. The Associate Editor will study the reviews that are returned, and make an overall recommendation to the Editor. Upon the receipt of all reviews, the Editor compiles a summary review which is being sent both to the authors and to all reviewers in anonymous form.
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