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)
Luc Paquette, University of Illinois at Urbana-Champaign, United States
Anna N. Rafferty, Carleton College, United States
Olga C. Santos, Universidad Nacional de Educación a Distancia, Spain
Kalina Yacef, University of Sydney, Australia (founding editor, 2008-2013)
Accessibility Production Editor:
Nigel Bosch, University of Illinois Urbana-Champaign, USA

Former Editors:

Andrew M. Olney, University of Memphis, United States, 2017-2021
Michel Desmarais, Polytechnique Montreal, Canada, 2014-2016
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

Published: 2024-06-27

Editorial Acknowledgment

Agathe Merceron; Maria Mercedes T. Rodrigo, Jaclyn Ocumpaugh, Ryan S. Baker, Min Chi, Andrew M. Olney, Luc Paquette, Anna Rafferty, Olga C. Santos, Kalina Yacef
Abstract 36 | HTML Downloads 212 PDF Downloads 22

Page i-iv

EDM 2024 Journal Track

The Knowledge Component Attribution Problem for Programming: Methods and Tradeoffs with Limited Labeled Data

Yang Shi, Robin Schmucker, Keith Tran, John Bacher, Kenneth Koedinger, Thomas Price, Min Chi, Tiffany Barnes
Abstract 77 | HTML Downloads 26 PDF Downloads 40

Page 1-33

Automated Evaluation of Classroom Instructional Support with LLMs and BoWs: Connecting Global Predictions to Specific Feedback

Jacob Whitehill, Jennifer LoCasale-Crouch
Abstract 28 | HTML Downloads 11 PDF Downloads 19

Page 34-60

An Approach to Improve k-Anonymization Practices in Educational Data Mining

Frank Stinar, Zihan Xiong, Nigel Bosch
Abstract 22 | HTML Downloads 11 PDF Downloads 25

Page 61-83

Exploring the Impact of Symbol Spacing and Problem Sequencing on Arithmetic Performance: An Educational Data Mining Approach

Avery Harrison Closser, Anthony F. Botelho, Jenny Yun-Chen Chan
Abstract 71 | HTML Downloads 21 PDF Downloads 26

Page 84-111

Effect of Gamification on Gamers: Evaluating Interventions for Students Who Game the System

Kirk P. Vanacore, Ashish Gurung, Adam Sales, Neil Heffernan
Abstract 25 | HTML Downloads 8 PDF Downloads 29

Page 112-140

LearnSphere: A Learning Data and Analytics CyberInfrastructure

John Stamper, Steven Moore, Carolyn Rose, Philip Pavlik, Kenneth Koedinger
Abstract 24 | HTML Downloads 13 PDF Downloads 32

Page 141-163

Session-based Methods for Course Recommendation

Md Akib Zabed Khan, Agoritsa Polyzou
Abstract 32 | HTML Downloads 11 PDF Downloads 38

Page 164-196


Analyzing Transitions in Sequential Data with Marginal Models

Jeffrey Matayoshi, Shamya Karumbaiah
Abstract 20 | HTML Downloads 10 PDF Downloads 13

Page 197-232

Supercharging BKT with Multidimensional Generalizable IRT and Skill Discovery

Mohammad M. Khajah
Abstract 18 | HTML Downloads 21 PDF Downloads 30

Page 233-278

Structural Neural Networks Meet Piecewise Exponential Models for Interpretable College Dropout Prediction

Chuan Cai, Adam Fleischhacker
Abstract 27 | HTML Downloads 14 PDF Downloads 20

Page 279-302

Extended Articles from the EDM 2023 Conference

Investigating Concept Definition and Skill Modeling for Cognitive Diagnosis in Language Learning

Boxuan Ma, Sora Fukui, Yuji Ando , Shinichi Konomi
Abstract 33 | HTML Downloads 9 PDF Downloads 27

Page 303-329

A Course Recommender System Built on Success to Support Students at Risk in Higher Education

Kerstin Wagner, Agathe Merceron, Petra Sauer, Niels Pinkwart
Abstract 34 | HTML Downloads 11 PDF Downloads 37

Page 330-364

A Comprehensive Study on Evaluating and Mitigating Algorithmic Unfairness with the MADD Metric

Mélina Verger, Chunyang Fan, Sébastien Lallé, François Bouchet, Vanda Luengo
Abstract 42 | HTML Downloads 28 PDF Downloads 25

Page 365-409