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March 3, 2026
Integrating technology acceptance, self-determination, and self-regulation: A structural model of generative AI-supported learning and competence
SY
Shu Yang
North Carolina State University
Key Points
Generative AI-supported learning enhances competence and self-regulation among learners, leading to improved educational outcomes.
Key evidence shows a strong correlation between technology acceptance and self-determination in AI-integrated learning environments.
The approach includes a structural model analysis of technology acceptance, self-determination, and self-regulation in educational contexts.
Findings support the integration of technology acceptance frameworks with self-regulation theories, indicating significant educational implications.
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Shu Yang (Wed,) studied this question.
synapsesocial.com/papers/69a7608ec6e9836116a2d68d
https://doi.org/https://doi.org/10.1016/j.chb.2026.108933
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Integrating technology acceptance, self-determination, and self-regulation: A structural model of generative AI-supported learning and competence | Synapse