Underlining what matters in higher ed and ed tech: news, vendor updates, and commentary from across the field, in one place.https://theunderline.netlify.app/source/jedm/https://jedm.educationaldatamining.org/index.php/index/article/view/1147https://jedm.educationaldatamining.org/index.php/index/article/view/1147Intelligent Language Tutoring Systems (ILTS) aim to provide adaptive language-learning experiences tailored to individual students. A major challenge is determining the appropriate granularity of Knowledge Components (KCs) for predicting student performance. Accurate prediction is essential for identifying activities…Mon, 05 Oct 2026 12:00:00 GMTWalid El Hefny and Detmar MeurersResearchhttps://jedm.educationaldatamining.org/index.php/index/article/view/1014https://jedm.educationaldatamining.org/index.php/index/article/view/1014Digital educational media platforms such as YouTube are increasingly used by teachers and learners, creating a growing record of instructional discourse. For educational data mining (EDM) and learning analytics researchers, transcript-derived text offers a scalable entry point for corpus-level analysis, but…Thu, 10 Sep 2026 12:00:00 GMTWei Wang et al.Researchhttps://jedm.educationaldatamining.org/index.php/index/article/view/1099https://jedm.educationaldatamining.org/index.php/index/article/view/1099In prerequisite-heavy engineering programmes, progression rules can redistribute academic risk across time and student groups in ways that are difficult to observe before a reform is implemented. This study uses an agent-based model (ABM) calibrated to longitudinal survival data to examine three progression…Thu, 10 Sep 2026 12:00:00 GMTHugo Roger PazResearchhttps://jedm.educationaldatamining.org/index.php/index/article/view/960https://jedm.educationaldatamining.org/index.php/index/article/view/960Accurately predicting course workload is an emerging approach to identifying institutional workload trends and supporting students in mitigating risks such as excessive stress and course dropout. However, replicating these predictive models across different institutional contexts remains underexplored. In this study,…Wed, 12 Aug 2026 12:00:00 GMTConrad Borchers and Zachary A. PardosResearchhttps://jedm.educationaldatamining.org/index.php/index/article/view/1089https://jedm.educationaldatamining.org/index.php/index/article/view/1089Knowledge Tracing (KT) is a fundamental task in intelligent education that tracks students' knowledge states through their historical interactions. Early deep learning-based KT mainly relies on sequential models, which often find it more challenging to explicitly model the complex many-to-many relationships between…Sun, 19 Jul 2026 12:00:00 GMTMeiling Xu et al.Researchhttps://jedm.educationaldatamining.org/index.php/index/article/view/956https://jedm.educationaldatamining.org/index.php/index/article/view/956As generative AI becomes increasingly integrated into qualitative analysis, a central methodological concern is how researchers can use AI to support coding without weakening human interpretive authority, contextual judgment, and the protection of participants' voices. This study examines how experienced qualitative…Sun, 19 Jul 2026 12:00:00 GMTMatthew Nyaaba et al.Researchhttps://jedm.educationaldatamining.org/index.php/index/article/view/1097https://jedm.educationaldatamining.org/index.php/index/article/view/1097The present study examines the assistance dilemma of providing combinations of perceptual supports in math education by fitting a Bayesian knowledge tracing model (BKT) to an open-source, online order-of-operations intervention dataset. This online intervention dataset contained 688 U.S. middle schoolers' accuracy…Sun, 19 Jul 2026 12:00:00 GMTPuyuan Zhang et al.Research