AI is implemented in SRL research primarily as an intervention, most often through adaptive systems and personalization¶
Claim · All claims
Evidence · 1 study · reviewr2·q3
Currency · newest study 2025 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · 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? 75% of AI-SRL studies implemented AI as an intervention to support student learning; among the four implementation categories, adaptive systems and personalization was most frequent (41%, N = 35), followed by profiling and prediction (38%, N = 32), intelligent tutoring systems (33%, N = 28), and assessment and evaluation (three studies). → 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
Classification of the 84 studies using the Bond et al. (2024) typology found "AI was implemented primarily as an intervention to support student learning (75%, N = 63)". Adaptive systems and personalization subdivided into chatbots/GenAI/NLP (N = 15), dashboards/automatic feedback (N = 11), facial/mood recognition (N = 5), recommender systems (N = 4), and writing support systems (N = 3).
"AI was implemented primarily as an intervention to support student learning (75%, N = 63)"
Discussion¶
Related Claims¶
- AI supporting SRL aims at end outcomes beyond SRL itself, most frequently improved academic performance — related
- Over one-third of AI-SRL studies specify no SRL theory; Zimmerman's model is the most frequently applied — related
- Learning Analytics Dashboards are the most frequently reported AI system type supporting lecturer decisions, primarily for monitoring, feedback, and assessment — related
- AI-SRL research predominantly focuses on higher education students, with minimal attention to primary education and educators — related
- Adult learners expect AI to enhance autonomy through choices, flexible learning spaces, metacognitive awareness, and structured self-assessment — related
- Teachers most often perceived AI tutors and study buddies as academic support at a scale no single teacher can provide — related
- Terminology for personalized learning is used unevenly, with personalized learning, adaptive learning, and intelligent tutoring dominating the 2019–2025 corpus — related
- Adaptive systems and personalisation research in AIHEd spans five subcategories, with chatbots/virtual assistants the most reviewed (n = 20) — related
- AIHEd reviews focus mostly on General AIEd (47.0%) and Profiling and Prediction (28.8%), while key findings predominantly concern adaptive systems and personalisation (54.5%) — related
- AI chatbots enable flexible personalized learning by adapting teaching strategies to individual student needs — related
- Perceived AI-adaptive learning environments are negatively associated with college students' self-regulated learning in a three-wave longitudinal survey — related
- LA is used in higher-education feedback studies for a range of objectives beyond improving feedback itself, with reflection the most common (43% of studies) — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ai-implemented-as-intervention-adaptive-systems-personalization |
title |
AI is implemented in SRL research primarily as an intervention, most often through adaptive systems and personalization |
description |
AI is implemented in SRL research primarily as an intervention, most often through adaptive systems and personalization |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
source_checked |
2026-10-20 |
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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