Tiny Transformer Reads 95 Million Student Clicks in Minutes, Explains Its Predictions in Real Time
A new framework called EKT-XAI processes 95 million student interactions in minutes using a lightweight transformer that matches deep knowledge ...
A new framework called EKT-XAI processes 95 million student interactions in minutes using a lightweight transformer that matches deep knowledge ...
Artificial intelligence models that predict what a student knows are getting a fundamental rethink. A team of Chinese researchers has ...
Researchers have developed a unified graph-based recommendation method that sequences online learning resources according to conceptual dependencies and learner behavior.
A study finds that adding hierarchical relationships among knowledge components can improve knowledge-tracing predictions and clarify students’ learning difficulties.
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© 2025 Scienmag - Science Magazine