Tag: educational data mining

A new graph-based framework groups similar learners and augments sparse data to improve cognitive diagnosis predictions across three public datasets.

A published study reports that a Big Bang-Big Crunch optimized Peephole LSTM model classified course records in a 10,000-record dataset ...

A study of 1,000 university learners identified four distinct online English learning behavior patterns and showed that feeding them into ...

A new interpretable AI framework combining large language model embeddings with structured educational data predicted vocational college students' English proficiency ...

A new open-access study reports that an attention graph neural network tuned by adaptive optimization reached 98 percent accuracy in ...

A domain-specific fuzzy-logic system linked eight student characteristics to interpretable aesthetic-education pathways and career recommendations, achieving 83.2% top-1 accuracy in ...

A CORAL-based domain adaptation framework significantly improved machine learning predictions of student graduation when models were transferred between academic programs ...

A single-university study found that jointly predicting semester course sets and grades reduced a Transformer’s mean absolute grade-prediction error by ...

Researchers at Amrita Vishwa Vidyapeetham built an explainable machine learning framework that predicts student dropout risk from academic, financial, health, ...

A hybrid deep learning framework predicts learner assessment outcomes from engagement data captured in the first quarter of online courses, ...