Focus and Scope

Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to better understand students, and the settings in which they learn. Such data types include student traces within interactive learning environments, learner test data and artefacts used for assessment, didactic material available in electronic form for mining, and usage traces left by students and instructors in learning management systems of all kinds.
 
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 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
 
There are no charges for published papers.

Peer Review Process

All articles that are elected for a full review undertake rigorous peer review by 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).
 
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 three 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 Associate Editor compiles a summary review in consultation with the Editor, and the summary review is then sent to both the authors and reviewers in anonymous form.
 
This extensive exploitation of electronic communication and electronic publishing benefits the authors, the editor, the reviewers, and the publisher. Reviewers do not receive papers unexpectedly, but are informed about incoming submissions and can pick those papers in which they are interested and which they are willing to review within a certain period of time. Both the quality and the punctuality of the reviews are thereby considerably improved. JEDM aims at evaluating papers within three months.
 
The reviewers will be asked to answer the following questions:
  • How relevant is this submission to the scope of JEDM? (if applicable: to the targeted special issue?)
  • How novel is the described research? Are the authors aware of related work?
  • What is the scientific contribution of this submission? Is it clearly explained, in terms of how the paper advances the EDM field or contributes to related fields?
  • Is the work technically sound? Are there enough methodological details? Are claims convincingly substantiated, either through theoretical argument or empirical data?
  • Have the authors made their data sets, software code, and intermediate results available for inspection and re-use to the reviewers and, if appropriate, to the community? (not always required, but recommended when feasible)
  • Do the authors describe the limitations of their approach in a satisfactory manner?
  • How significant is the research? Will the paper be likely to have an impact on the community?
  • Does the title of this paper clearly and sufficiently reflect its contents?
  • Are the presentation, organization and length satisfactory?
  • Can you suggest additions, amendments, or reductions in the paper?
  • Are the illustrations and tables necessary and acceptable?
  • Are the key words and abstracts/summary informative?

Open Access Policy

The Journal of Educational Data Mining is an open access journal and operates under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license. Under this license and agreement, authors retain copyright and grant the journal the right of first publication. Please see our full statement on copyright.

This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.

There are no article processing charges, submissions fees, or any other costs required of authors to submit articles to this journal. 

Sponsors

JEDM is sponsored by the International Educational Data Mining Society.

Journal History

JEDM is the official journal of the International Educational Data Mining Society (www.educationaldatamining.org).