Semantic mapping of 8,954 definitions and 2,700 scales from 14,000+ papers shows learner agency and autonomy span task regulation, personal motivation, and sociocultural dimensions, with existing scales and generative AI research underrepresenting the sociocultural dimension.
and Ryan, Richard M
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Using optimality conditions from the second-service rule and a structural model on tennis data, the paper shows players value process utility positively and systematically trade off outcome probabilities for it.
AI-authored goals produce higher SMART quality scores but lower psychological ownership, commitment, importance, and goal-directed behavior than self-authored goals, with ownership as the mediating mechanism.
A three-agent mobile system for end-to-end walking support shows motivational companion dialogue boosts affect and UX in a 12-person in-the-wild crossover study.
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Large-scale semantic mapping of learner agency and autonomy reveals what measurement and generative AI research overlook
Semantic mapping of 8,954 definitions and 2,700 scales from 14,000+ papers shows learner agency and autonomy span task regulation, personal motivation, and sociocultural dimensions, with existing scales and generative AI research underrepresenting the sociocultural dimension.
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Process Utility in High-Stakes Competition
Using optimality conditions from the second-service rule and a structural model on tennis data, the paper shows players value process utility positively and systematically trade off outcome probabilities for it.