AI framework predicts music skills and adapts training recommendations
A hybrid AI system achieved strong skill-level prediction on a public music-learning dataset, but its training recommendations remain to be ...
A hybrid AI system achieved strong skill-level prediction on a public music-learning dataset, but its training recommendations remain to be ...
A quasi-experimental study of 357 online programming learners found that teacher-governed LLM scaffolding was associated with stronger formative practice and ...
Researchers have developed and validated an AI-driven adaptive learning system that predicts student engagement, forecasts academic achievement, and generates explainable ...
A new dynamic framework argues that in markets run by learning algorithms, equilibrium emerges only as a possible outcome of ...
A new graph neural network framework evaluates dance training in real time and automatically adapts practice plans, achieving record accuracy ...
A newly validated 38-item scale identifies four distinct dimensions of how gifted students adapt their learning strategies when working with ...
A bibliometric analysis of 1,655 publications shows research on artificial intelligence for inclusive education exploded after 2024, led by the ...
Researchers clustered 14,003 students into six behavioral profiles and built an interpretable recommendation framework that maps each profile to personalized ...
Researchers have introduced DACD, a dynamic adaptive learning method that detects concept drift in streaming data with a window-based CUSUM ...
A decade-long bibliometric analysis using CiteSpace and VOSviewer reveals explosive growth in AI-powered, virtual reality-based, and personalized digital medical education, ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine