From self-regulated to self-determined learning: identifying the heutagogical gap and designing GenAI scaffolds in asynchronous higher education
This study examines the transition from self-regulated learning to self-determined learning and explores how generative artificial intelligence may scaffold heutagogical development and proposes GenAI as a differentiated scaffold for expanding learner agency rather than substituting for learners' cognitive effort, judg...