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 cumulative knowledge. Treating meaning as a phenomenon constituted through use in linguistic practice, we extracted 8,954 definitions and 2,700 scale items from over 14,000 publications, to investigate how researchers actually used learner agency and autonomy with a semantic analysis pipeline. The definitional landscape
The proliferation of generative AI in education necessitates a deeper, more accurate understanding of learner agency and autonomy to effectively design and evaluate educational systems.
A nuanced understanding of learner agency, free from definitional ambiguities, is critical for developing AI education tools that genuinely foster personal development and effective learning.
The research establishes a more robust semantic foundation for discussing and measuring learner agency and autonomy, potentially leading to more targeted and effective AI-driven educational interventions.
- · Educational AI Developers
- · Learning Science Researchers
- · EdTech Companies
- · Learners
- · Generative AI neglecting pedagogical principles
- · Educational assessment systems based on ambiguous terms
Improved design and efficacy of AI-powered educational platforms focusing on learner agency.
A shift in educational policies and funding towards AI solutions that prioritize well-defined concepts of learner autonomy.
Enhanced human-AI collaboration in learning environments leading to more personalized and impactful educational outcomes globally.
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Read at arXiv cs.AI