Students reported satisfaction with the detailed analyses, personalized multi-dimensional recommendations and motivational guidance provided by the AI systems¶
Claim · All claims
Evidence · 1 study · qualitativer?·q2
Currency · newest study 2026 · 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.
q2 i? Descriptive analysis of diaries and interviews showed participants valued the depth of analysis, with one student saying the comments were so detailed that even a teacher would not say that much. → Yakup Aksoy 2026
Evidence¶
Yakup Aksoy 2026¶
Yakup Aksoy. (2026). Yapay zekâ, yapay zekâ söyle bana: Keman eğitiminde yapay zekâ destekli geri bildirimin entonasyona etkisine yönelik bir model çalışması. Online Journal of Music Sciences, 11(2). https://doi.org/10.31811/ojomus.1897062
q2 · i? · qualitative · r?
Descriptive qualitative analysis of participant interviews and structured diaries from the 12 students, triangulated with the AI feedback texts (coder agreement 0.92). Participants highlighted detailed comments and inferences about the instrument's physical dimension; no effect size applies.
"K9 “Yorumlar o kadar detaylı ki… öğretmen bile bu kadar söyleyemezdi” derken, K12 pratik önerilere dikkat çekmiştir. K12’nin “Tellerin gerginliğinden bile bahsediyor” ve K6’nın “Profesyonel bir lüthiyere danışın dedi” ifadeleri, sistemin çalgının fiziksel boyutuna dair çıkarımlar yapabildiğini göstermektedir."
Discussion¶
Related Claims¶
- ChatGPT and DeepSeek feedback differed from student to student in technical content, repertoire and address style, providing an individualized approach — related
- Educators use AI tools mainly for personalized learning and language support and frequently use generative AI for lesson planning — related
- Instructors perceive that experiential learning cultivates enjoyment, satisfaction, and self-confidence through peer and community engagement (beauty) — related
- Students who used AI reported feeling less accomplished, with heavier reliance associated with greater loss of satisfaction — reports the opposite
- School-side support (teacher, instructional, and institutional provision) is associated with learners' motivation, engagement, and need satisfaction — related
- K-12 students across five schools valued CyberScholar's detailed, specific, rubric-aligned feedback as helpful for identifying areas to revise — related
- Students' main AI challenges are content reliability and depth, and most expect AI to serve as tutor, creative partner, and critical thinking partner rather than mere content generator — related
- AI chatbots enable flexible personalized learning by adapting teaching strategies to individual student needs — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
students-satisfied-with-genai-feedback-quality |
title |
Students reported satisfaction with the detailed analyses, personalized multi-dimensional recommendations and motivational guidance provided by the AI systems |
description |
Students reported satisfaction with the detailed analyses, personalized multi-dimensional recommendations and motivational guidance provided by the AI systems |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — yakup-aksoy-2026 |
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