Tag: educational data mining

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

Researchers have built an interpretable fuzzy logic system that detects at-risk students with high recall and translates risk scores into ...

Researchers at Banasthali Vidyapith developed an explainable machine learning system that predicts university student academic performance with an R-squared of ...

A new study of three undergraduate courses shows that Moodle engagement predicts grades with up to 97 percent accuracy in ...

Researchers clustered 14,003 students into six behavioral profiles and built an interpretable recommendation framework that maps each profile to personalized ...

A leakage-aware benchmark of seven models across three educational datasets found that Gradient Boosting outperformed attention-based neural networks, which showed ...

A new hybrid AI framework combining deep convolutional networks with multi-objective evolutionary optimization achieves 98.5 percent accuracy in assessing vocational ...

A 2025 study in Frontiers of Digital Education details how data-driven student portraits, built from knowledge graphs, clustering, and natural ...

Researchers have developed a multi-granularity contrastive learning framework that automatically discovers new categories of teacher instructional behavior from classroom video, ...

Researchers in China have shown that large language models can diagnose student knowledge in entirely new subjects without any prior ...