AI feedback supports or undermines self-regulated practice depending on whether it supports or substitutes for internal monitoring¶
Claim · All claims
Evidence · 1 study · theoreticalr2·q1
Currency · newest study 2026 · 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.
q1 i? AI feedback may increase dependence when it substitutes for internal monitoring, but can strengthen autonomous regulation when it supports self-monitoring. → Li Y 2026
Evidence¶
Li Y 2026¶
Li Y (2026) Beyond output metrics: reframing AI-assisted vocal pedagogy through human learning and educational value. Front. Psychol. 17:1844841. https://doi.org/10.3389/fpsyg.2026.1844841
q1 · i? · theoretical · r2
Conceptual argument in the section on human learning processes as the mediating layer: singing involves cycles of action, sensation, feedback, adjustment, and renewed practice, and AI evidence must enter self-regulated practice rather than remain a detached correction. No empirical data are reported in this article.
"It may increase dependence when it substitutes for internal monitoring, but it can strengthen autonomous regulation when it supports self-monitoring"
Discussion¶
Learner Variables¶
- Self-Regulation — outcome: instruction changes it
Related Claims¶
- Metacognitive prompts improve learning — related
- Self-regulated learning models treat self-monitoring as a core process through which learners notice gaps and adjust strategy — related
- Self Assessment Improves Self Regulated Learning — related
- Self-regulated learning improves achievement — related
- Self-determination theory holds that autonomy support raises intrinsic motivation, and a meta-analysis finds expected tangible rewards undermine it — related
- Motivation, affect, and learner beliefs shape whether AI evidence is accepted, resisted, or used in singing training — related
- Regulation in collaborative learning is layered: the portfolio of regulation layers needs itself to be regulated — related
- GenAI can support learner agency through self-regulated learning, self-efficacy, and feedback literacy under appropriate conditions — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ai-feedback-support-or-dependence-self-regulation |
title |
AI feedback supports or undermines self-regulated practice depending on whether it supports or substitutes for internal monitoring |
description |
AI feedback supports or undermines self-regulated practice depending on whether it supports or substitutes for internal monitoring |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
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 — li-y-2026 |
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