About the Journal

The Journal of Educational Data Mining (JEDM; ISSN: 2157-2100; see indexing) is published by the International Educational Data Mining Society (IEDMS). It is an international and interdisciplinary forum of research on computational approaches for analyzing electronic repositories of student data to answer educational questions. It is completely and permanently free and open-access to both authors and readers. 

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.
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
  • ►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. More information about the journal can be found here.
 
 
Editor: Agathe Merceron, Berlin University of Applied Sciences, Germany

Associate Editors:
Ryan S. Baker, University of Pennsylvania, United States
Min Chi, North Carolina State University, United States
Andrew M. Olney, University of Memphis, United States (editor, 2017-2021)
Anna N. Rafferty, Carleton College, United States
Kalina Yacef, University of Sydney, Australia (founding editor, 2008-2013)
 
 
Author guidelines and submission guidelines can be found here. All other inquiries should be emailed to: info@jedm.educationaldatamining.org.
 

Current Issue

Special Issue on Computer Science Education and Educational Data Mining (CSEDM)

Sharon Hsiao, Thomas Price, Peter Brusilovsky, Bita Akram and Juho Leinonen, Editors

Published: 2023-03-15

Introduction to the Special Issue on EDM in Computer Science Education (CSEDM)

Thomas W. Price, Sharon Hsiao, Bita Akram, Peter Brusilovsky, Juho Leinonen
Abstract 159 | PDF Downloads 142
PDF

Special Issue on CSEDM: Educational Data Mining for Computing Education

Review of CSEDM Data and Introduction of Two Public CS1 Keystroke Datasets

John Edwards, Kaden Hart, Raj Shrestha
Abstract 154 | PDF Downloads 133
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Page 1 - 31

Analysis of Student Pair Teamwork Using GitHub Activities

Niki Gitinabard, Zhikai Gao, Sarah Heckman, Tiffany Barnes, Collin F. Lynch
Abstract 187 | PDF Downloads 153
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Page 32 - 62

Using Problem Similarity- and Order-based Weighting to Model Learner Performance in Introductory Computer Science Problems

Yingbin Zhang, Juan D. Pinto, Aysa Xuemo Fan, Luc Paquette
Abstract 195 | PDF Downloads 128
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Page 63 - 99