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July 26, 2026SystemsOpen Access

Mapping the Interplay Between Perceived Personal Skills, Self-Regulated Learning, and Metacognitive Engagement with Generative AI

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Authors

GKGila KurtzMAMeital Amzalag

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Overview

Randomized trial examines predictors of metacognitive use of Generative AI in learners, suggesting implications for self-regulation.

Key Points

  • The aim is to explore the factors influencing metacognitive engagement with generative AI within the self-regulated learning framework.
  • Conducted an online survey among 1265 participants recruited through snowball sampling.
  • Examined perceived self-regulation skills, perceived usefulness, and learning motivation in relation to metacognitive use of GenAI.
  • Perceived personal skills and perceived usefulness predict self-reported metacognitive use of GenAI significantly.
  • Learning motivation was identified as a negative predictor of effective engagement with GenAI-based learning.
  • Perceived usefulness partially mediated the relationship between motivation and metacognitive use.

Cite This Study

Kurtz et al. (2026) studied this question.

synapsesocial.com/papers/6a65a5bad3aea3239cd77902https://doi.org/10.3390/systems14080884
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1When Professions Meet GenAI: Patterns of Self-Regulated Learning2026 · 1 citations
  2. 2Exploring the Influence of Generative AI on Self-Regulated Learning: A Mixed-Methods Study in the EFL Context2025 · 3 citations
  3. 3Generative AI tool usage and perceived self-regulated learning: The mediating roles of technological self-efficacy and cognitive offloading in blended learning2026
  4. 4How does GenAI support self-regulated learning? Evidence from learners' questioning behavior analysis2026
  5. 5Enhancing or Hindering? The Moderating Role of Self-Regulated Learning in the Relationship Between GenAI Usage and Higher-Order Thinking Skills Among Chinese University Students2026