Self Regulated Learning

Self-regulated learning (SRL) research explores how learners manage their own cognitive processes and learning behaviors, aiming to understand and optimize the learning process. Current research focuses on applying SRL principles to diverse areas, including intelligent tutoring systems, adaptive writing support, and even artificial intelligence models, utilizing techniques like process mining to analyze learning patterns and hyperparameter-aware generation to enhance AI self-regulation. These investigations are significant because they offer insights into effective learning strategies and inform the development of more personalized and effective educational technologies and AI systems.