AI's direct impact on SRL concentrates on metacognitive and cognitive aspects while motivation remains underexplored¶
Claim · All claims
Evidence · 1 study · reviewr2·q3
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q3 i? Among the 84 reviewed studies, AI's impact on the metacognitive aspect of SRL was the primary focus in 73 studies, cognition was investigated in 51, and the motivational aspect was examined in only 20. → Banihashem 2025
Evidence¶
Banihashem 2025¶
Banihashem, S. K., Bond, M., Bergdahl, N., Khosravi, H., & Noroozi, O. (2025). A systematic mapping review at the intersection of artificial intelligence and self-regulated learning. International Journal of Educational Technology in Higher Education, 22(50). https://doi.org/10.1186/s41239-025-00548-8
q3 · i? · review · r2
The review categorized direct impacts of AI on SRL into cognition, metacognition, and motivation (Schraw et al., 2006), finding "AI’s impact on the metacognitive aspect of SRL emerged as the primary area of focus in 73 studies. In contrast, AI’s impact on the motivational aspect of SRL was examined only in 20 studies". Some studies addressed one aspect only, others two or all three.
"AI’s impact on the metacognitive aspect of SRL emerged as the primary area of focus in 73 studies. In contrast, AI’s impact on the motivational aspect of SRL was examined only in 20 studies"
Discussion¶
Learner Variables¶
- Self-Regulation — outcome: instruction changes it
Related Claims¶
- As cited second-hand in an AI-literacy framework paper: ChatGPT use improved short-term essay scores but triggered metacognitive laziness with no significant knowledge-transfer gains — related
- SRL interventions combining metacognitive, cognitive, and motivational components were most frequent and, per the authors, had the greatest impact — related
- AI-SRL research predominantly focuses on higher education students, with minimal attention to primary education and educators — related
- AI-generated diagnostic information is inherently incomplete, focusing on performance data and omitting contextual and motivational information — related
- Underexplored PEA configurations center on participation support, AI literacy, and content generation, with two theme-level combinations absent from the corpus — related
- Among 73 reviewed AIHE studies, 42 (57.5%) examined student engagement, with cognitive engagement the most frequently investigated dimension — related
- Evidence for agentic AI in education is strongest for formative tutoring and SRL coaching, while orchestration and assessment applications remain at mid technology-readiness stages — related
- GCLA does not bolster motivational aspects of SRL: traditional ChatGPT users showed higher intrinsic motivation and higher amotivation than GCLA users — related
- Most direct SRL promotion targeted cognitive capabilities and rarely mentioned the benefit of strategy use — related
- Integrated multimodal SRL studies are increasing, but motivational and affective processes remain underrepresented and temporal alignment of data streams is rarely done — related
- Learners perceive AI applications as useful for regulating their learning but not for regulating motivation — related
- Teacher-AI co-design research is concentrated in teacher education and higher education, while secondary and primary education settings remain relatively underdeveloped — related
- Affective and motivational SRL processes received little to no attention in mind-wandering research, and few studies used integrated multimodal-plus-SRL analytic approaches — related
- Among 50 reviewed studies, 42 examined cognitive effects, with most showing large effects (d ≥ 0.8) but seven showing no or negative effects — related
- SRL interventions for pre-service teachers unevenly cover SRL areas: cognition (n = 62) and metacognition (n = 55) dominate, while emotion (8 interventions) and context regulation (n = 6) are rare — related
- Motivational and affective dimensions remain underrepresented in multimodal SRL research despite theoretical consensus on their importance — a broader claim this one bears on
- Multimodal SRL research shows a historical shift from unimodal toward integrated analytical designs, but motivational and affective dimensions remain underrepresented — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ai-srl-impact-metacognitive-cognitive-motivation-underexplored |
title |
AI's direct impact on SRL concentrates on metacognitive and cognitive aspects while motivation remains underexplored |
description |
AI's direct impact on SRL concentrates on metacognitive and cognitive aspects while motivation remains underexplored |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — banihashem-2025 |
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