JEDM Special Issue on CS Education and Educational Data Mining (CSEDM)
Posted on 2022-03-02
The goal of this CSEDM special issue of JEDM is to showcase the state-of-the-art in CSEDM research, which combines educational data mining, AI or learning analytics with discipline-specific expertise in computing education to produce novel insights into how students Computer Science learn and how to support them. We invite researchers from both the CS Education and EDM/AIED/LAK research communities to contribute, and especially invite collaborative work that bridges across these communities. Effective submissions will make a contribution to both research communities, including novel EDM approaches, as well as insights for CS Education.
Special Issue Associate Editors and Contact InformationSharon Hsiao (Santa Clara University)
Thomas Price (NC State University)
Peter Brusilovsky (University of Pittsburgh)
Bita Akram (NC State University)
Juho Leinonen (University of Helsinki)
For questions about the special issue, contact:
- Thomas Price: twprice@jedm.educationaldatamining.org
- Sharon Hsiao: sharon@jedm.educationaldatamining.org
Abstract Submission Due (via email)
May 15, 2022
Submission of Complete Manuscripts (via JEDM)
June 10, 2022
Initial Notification (Reject/Revision/Accept)
August 1, 2022
Revision Deadline (if needed)
September 1, 2022
Final Notification of Acceptance
October 10, 2022
Camera-ready version
November 1, 2022