AI-mediating is a newly observed orchestration type in which the teacher concretizes or supplements correct AI feedback for students in curriculum context (12 of 46 episodes)¶
Claim · All claims
Evidence · 1 study · qualitativer3·q1
Currency · newest study 2026 · checked against its sources 2026-10-19 (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? When AI feedback itself was correct, the teacher concretized it so students could understand it or supplemented it to fit curriculum context, mediating between AI and students; this was observed 12 times across 46 episodes. → Yun Hwa Noh & Hee-jeong Kim 2026
Evidence¶
Yun Hwa Noh & Hee-jeong Kim 2026¶
Yun Hwa Noh & Hee-jeong Kim. (2026). Exploring teachers' instrumental orchestration and roles in high school mathematics classes using AI-based digital tools. The Mathematical Education 65(2), 309-335. https://doi.org/10.63311/mathedu.26.6525
q1 · i? · qualitative · r3
Qualitative case analysis of Snorkl episodes, mainly observed alongside AI-correcting. The interview showed the teacher's intent was to supplement what the AI could not capture, reinterpreting AI feedback within the mathematics curriculum context; the article reports 12 observations among 46 episodes.
"'AI-매개하기'는 AI 피드백 자체에는 오류가 없으나, 교사가 이를 학생들이 이해할 수 있도록 구체화하거나 교육과정 맥락에 맞게 보완하여 전달하는 오케스트레이션 유형이다."
Discussion¶
Related Claims¶
- AI-correcting is a newly observed orchestration type in which the teacher identifies erroneous AI feedback, points it out to students, and re-guides or edits AI prompts (10 of 46 episodes) — related
- AI-based high school mathematics lessons exhibit four existing and three newly emerging instrumental orchestration types, with the new types appearing in 36 of 46 episodes — a broader claim this one bears on
- Dashboard-monitoring is a newly observed orchestration type in which the teacher uses real-time AI dashboards to grasp student status and adjust lesson direction and pace (14 of 46 episodes) — related
- Teacher roles vary by orchestration type, with content-related and ethical roles prominent when the teacher intervenes in AI-generated feedback, and a knowledge-transmitter role emerging in explain-the-screen — related
- Instructor roles shift from exclusive information source toward orchestrating and regulating AI-mediated learning activities — related
- For exam-oriented learners, trust in AI tutors hinges on curriculum fit: students abandon mathematically correct solutions that use out-of-syllabus methods — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ai-mediating-orchestration-type |
title |
AI-mediating is a newly observed orchestration type in which the teacher concretizes or supplements correct AI feedback for students in curriculum context (12 of 46 episodes) |
description |
AI-mediating is a newly observed orchestration type in which the teacher concretizes or supplements correct AI feedback for students in curriculum context (12 of 46 episodes) |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
source_checked |
2026-10-19 |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — yun-hwa-noh-hee-jeong-kim-2026 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.