Machine learning reads VR learning traces to model how students self-regulate
A study of 138 elementary students in Jakarta shows that interaction traces from VR-integrated e-modules can predict self-regulated learning with ...
A study of 138 elementary students in Jakarta shows that interaction traces from VR-integrated e-modules can predict self-regulated learning with ...
A new multi-agent AI system called MATE uses specialized debating agents and a coordinating agent to score essays across multiple ...
An explainable machine learning study of PISA 2022 data finds that digital learning capacity, mathematics anxiety, and their interaction best ...
Researchers at Banasthali Vidyapith developed an explainable machine learning system that predicts university student academic performance with an R-squared of ...
Researchers in China have built an explainable AI framework that predicts student readiness for Industry 4.0 careers with 98.92 percent ...
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 ...
Machine learning forecasts of international student flows to the United Kingdom reveal a concentration paradox in which apparent diversification masks ...
A survey-weighted explainable machine-learning analysis of PISA 2018 data from 74,235 students in ten education systems shows that books at ...
Mathematics achievement has long been framed as a contest between two kinds of forces: the material circumstances of a student's ...
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© 2025 Scienmag - Science Magazine