Editorial Acknowledgement
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Published
Jun 30, 2025
Philip Irvin Pavlik Jr.
Carrie Demmans Epp
Benjamin Paaßen
Agathe Merceron
Roberto Matinez-Maldonado
Nigel Bosch
https://orcid.org/0000-0001-9079-4921
Abstract
This issue of the Journal of Educational Data Mining features seven extended articles from EDM 2024, one regular article, and three JEDM Track articles selected for presentation at EDM 2025. Featured studies examine the effects of teacher assignment report use, approaches for predicting perceived text complexity, the development of a feedback taxonomy for mathematics, and mastery threshold comparisons in intelligent tutoring. The editorial team extends appreciation to the authors, guest editors, reviewers, and editorial board members whose expertise and dedication ensure the continued quality and rigor of the journal.
How to Cite
Pavlik Jr., P. I., Demmans Epp, C., Paaßen, B., Merceron, A., Matinez-Maldonado, R., & Bosch, N. (2025). Editorial Acknowledgement. Journal of Educational Data Mining, 17(1), i-v. https://doi.org/10.5281/zenodo.15739414
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Editorial Acknowledgment
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