Large-scale semantic mapping of learner agency and autonomy reveals what measurement and generative AI research overlook
A new study published on arXiv analyzes over 14,000 publications to map the semantic landscape of learner agency and autonomy. The research identifies three key dimensions: regulation of learning, intrinsic motivation, and sociocultural action. Existing measurement scales and current generative AI research in education are found to disproportionately focus on the regulation dimension, neglecting the sociocultural aspect. This work aims to improve the conceptualization, measurement, and practical support for multidimensional learner agency and autonomy. AI
IMPACT Highlights a gap in generative AI's application in education, suggesting a need for broader focus on learner autonomy.