The Journal of Educational Data Mining (JEDM; ISSN 2157-2100) 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.
- processes or methodologies followed to analyse educational data,
- integrating the 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.
Special issue of the EDM 2017 conference journal track.
Radek Pelánek and Agathe Merceron, Editors
EDM 2017 Journal Track
Closing the loop: Automated data-driven cognitive model discoveries lead to improved instruction and learning gains