Journal of Educational Data Mining
jedm.educationaldatamining.org ·Research ·Source query (API)
Monday, October 5
A Comparative Study of Knowledge Component Granularity in Intelligent Language Tutoring Systems
Intelligent 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…
jedm.educationaldatamining.org
Thursday, September 10
Analyzing Educational Video Transcripts with LLMs: Accuracy, Named Entities, and Interpretability
Digital 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…
jedm.educationaldatamining.orgModelling Promotion Policies with Survival-Calibrated Agent-Based Simulation: The Promotion Wall and Efficiency-Equity Trade-offs in Engineering Programmes
In 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…
jedm.educationaldatamining.org
Wednesday, August 12
Generalizability and Transferability of Course Workload Models Across Institutions
Accurately 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,…
jedm.educationaldatamining.org
Sunday, July 19
A Survey of Graph-Based Knowledge Tracing from Structural and Propagation Perspectives: Models, Applications, and Future Directions
Knowledge 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…
jedm.educationaldatamining.orgHuman-AI Collaboration in Inductive Thematic Analysis
As 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…
jedm.educationaldatamining.orgUsing Bayesian Knowledge Tracing to Evaluate Perceptual Scaffolding and Desirable Difficulties in a Math Intervention
The 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…
jedm.educationaldatamining.org