Facilitating Analytics-based Adaptive Scaffolding for Self-regulated Learning

This thesis examines analytics-based scaffolding to support self-regulated learning strategies in computer-based learning environments. It proposes a novel approach that combines generative artificial intelligence and analytical techniques to enhance self-regulated learning support.