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AI research overlooks learner autonomy dimensions, study finds

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.

RANK_REASON Academic paper analyzing AI research and its limitations. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Fei Qin, Xiaobo Liu, Yaowen Zhang, Xuming Li, Fei Wang, Mutlu Cukurova, Jingjing Chen, Yu Zhang ·

    Large-scale semantic mapping of learner agency and autonomy reveals what measurement and generative AI research overlook

    arXiv:2606.10881v1 Announce Type: new Abstract: Learner agency and autonomy are foundational to personal development, yet a pervasive "jingle-jangle" fallacy (i.e. identical terms denoting different constructs, distinct terms denoting identical ones) has substantially hindered cu…

  2. arXiv cs.AI TIER_1 English(EN) · Yu Zhang ·

    Large-scale semantic mapping of learner agency and autonomy reveals what measurement and generative AI research overlook

    Learner agency and autonomy are foundational to personal development, yet a pervasive "jingle-jangle" fallacy (i.e. identical terms denoting different constructs, distinct terms denoting identical ones) has substantially hindered cumulative knowledge. Treating meaning as a phenom…