What question did this study set out to answer?

The aim is to understand how generative AI influences self-regulated learning across different professional sectors.

March 12, 2026Education SciencesOpen Access

When Professions Meet GenAI: Patterns of Self-Regulated Learning

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Study examines GenAI's impact on self-regulated learning in various professions, suggesting implications for effective adoption.

The aim is to understand how generative AI influences self-regulated learning across different professional sectors.
Examined engagement of 1265 adults from seven occupational sectors with GenAI for self-regulated learning.
Focused on variables like personal skills, cognitive perceptions, and motivation.
Identified distinct usage patterns based on professional affiliation and contextual factors.
Metacognitive use of GenAI varies with individual and contextual characteristics.
Lecturers and high-tech professionals show strong GenAI use when self-regulation aligns with perceived usefulness.
Educators tend to avoid GenAI unless its benefits are clearly defined.
Healthcare professionals' concerns influence their GenAI usage, contingent on metacognitive readiness.
General public uses GenAI mainly for functional purposes.

Meital Amzalag (2026) studied this question.

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