Knowledge Resource
Research Summary: Artificial intelligence-supported learning and higher-order cognitive outcomes: the mediating role of metacognitive self-regulation
- Original authors
- Attribution requires verification
- Original source
- Frontiers in Education
- Summary & Analysis prepared by
- Aziz Shuaib Ausi
- Resource type
- Research Summary / Knowledge Resource
- Resource published on AZIZ OS
- 15 September 2026
- Last updated
- 21 September 2026
- Reading time
- 1 min
- Publication type
- Knowledge Resource
- Availability
- Open access
About this Summary & Analysis
AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.
The increasing integration of Artificial Intelligence (AI) in higher education raises critical questions regarding its influence on students' higher-order cognitive competencies. While previous research has explored perceptions of AI-supported learning, this study specifically investigates the cognitive processes at play. It examines how AI task scaffolding, AI verification literacy, and cognitive offloading tendencies impact critical thinking and technical problem-solving, identifying metacognitive self-regulation as a key mediating factor. This analysis is based on a study of 533 university students in Ghana.
Why it matters
The findings from this research are crucial for informing strategic decisions regarding AI deployment in educational and professional development contexts. Understanding AI's impact on higher-order cognitive skills and the role of metacognitive self-regulation allows for the design of more effective AI-supported learning environments that genuinely enhance capabilities rather than merely automate tasks. This insights can guide investment in AI technologies that foster critical thinking and problem-solving, which are vital for future workforce readiness and organizational innovation.
Key insights
- AI integration in higher education necessitates understanding its effects on students' higher-order cognitive outcomes.
- Limited prior research exists on the specific cognitive processes involved in AI interactions influencing learning performance.
- The study investigates the relationships between AI task scaffolding, AI verification literacy, and cognitive offloading tendency.
- These factors are examined for their impact on critical thinking and technical problem-solving.
- Metacognitive self-regulation is identified as a mediating factor in the relationship between AI interaction factors and cognitive outcomes.
- The research employed a cross-sectional design, utilizing data from 533 university students.
Source
Frontiers in Education — https://www.frontiersin.org/articles/10.3389/feduc.2026.1855869
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- Verification ID
- ASA-EXE-2026-00516
- Version
- v1.0 · r0
- Issued
- 15 September 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- Artificial intelligence-supported learning and higher-order cognitive outcomes: the mediating role of metacognitive self-regulation
- Original authors
- Attribution requires verification
- Original source
- Frontiers in Education
- Provenance status
- Attribution requires verification
- Rights
- Underlying publication rights remain with the respective copyright holder(s). Refer to the original source for authoritative publication and licensing information.
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