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)¶
Claim · All claims
Evidence · 1 study · qualitativer3·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? When AI feedback contained errors—such as misrecognizing student graphs or producing feedback misaligned with the curriculum—the teacher corrected the feedback, re-guided students, or directly edited AI prompts; this occurred 10 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. Errors arose mainly when the AI failed to recognize student graphs or produced feedback inconsistent with curriculum context; the article reports the type was observed 10 times among 46 episodes, with the teacher sometimes re-assigning scores by curriculum criteria.
"'AI-수정하기'는 AI가 산출한 피드백에 오류가 있을 때, 교사가 이를 발견하고 학생들에게 AI의 오류를 지적하고 수정하여 재안내하는 오케스트레이션 유형이다."
Discussion¶
Related Claims¶
- 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
- 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) — 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
- 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
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ai-correcting-orchestration-type |
title |
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) |
description |
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) |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
source_checked |
2026-10-20 |
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 |
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