Tag: educational data mining

Researchers at Zhejiang University have developed a model-agnostic framework that uses large language models and the SOLO taxonomy to significantly ...

Researchers have built an explainable, fairness-audited early warning system that predicts online student dropout using only the first weeks of ...

Researchers at Damietta University used automated machine learning to predict medical student performance, finding that ensemble methods like Bagging and ...

Researchers have reformulated knowledge tracing so large language models can assess a student's understanding from only a few answers while ...

Researchers in Gaza show that internet-induced exam failures leave detectable signatures in learning management system logs, allowing institutions to separate ...

A random forest analysis of 260 Filipino first-year college students found that eight demographic variables explained almost none of the ...

Researchers have built a leakage-controlled two-level clustering framework that profiles the cognitive strengths of nearly 37,000 university students and stratifies ...

Researchers have built a transfer-learning ensemble framework that predicts end-of-semester student performance from just the first eight practical sessions, even ...

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 ...