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.

See the full call.

Special Issue Associate Editors and Contact Information

Sharon 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 

Important Dates

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