Explain-the-screen was the most frequent orchestration type (24 of 46 episodes), and in AI-based lessons it was dynamically reconfigured in real time by AI-generated learning data¶
Claim · All claims
Evidence · 1 study (2 entries) · qualitativer3·q1
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.
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q1 i? Explain-the-screen, in which the teacher explained mathematical concepts via OneNote on the electronic board, was observed 24 times, the most frequent type. → Yun Hwa Noh & Hee-jeong Kim 2026
q1 i? In AI-based lessons, explain-the-screen operated not as one-way delivery of pre-planned content but as dynamic teaching reconfigured in real time in response to AI-produced learning data. → Yun Hwa Noh & Hee-jeong Kim 2026 (2)
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
In the discussion of the case analysis of six lessons, the authors report that among the existing types, explain-the-screen — in which the teacher explained mathematical concepts and problem solving via the electronic board or shared screen — was observed 24 times across the 46 episodes, the most frequent.
"한편 기존 유형 중에서는 ‘화면-설명하기’가 전체 46개 에피소드 중 24회로 가장 많이 관찰되었다."
Yun Hwa Noh & Hee-jeong Kim 2026 (2)¶
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
In the discussion, the authors state that in AI-based lessons the teacher immediately reflected student misconceptions and solution status grasped through individual AI feedback and dashboards, adjusting the content, depth, and pace of explanation in real time.
"즉 AI 기반 수업에서의 '화면-설명하기'는 기존 수업과 같이 사전에 계획된 내용을 일방적으로 전달하는 행위가 아니라, AI가 산출한 학습 데이터에 반응하여 실시간으로 재구성되는 역동적 교수 행위로 작동하였다."
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 — 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
- 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
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
explain-the-screen-most-frequent-reconfigured |
title |
Explain-the-screen was the most frequent orchestration type (24 of 46 episodes), and in AI-based lessons it was dynamically reconfigured in real time by AI-generated learning data |
description |
Explain-the-screen was the most frequent orchestration type (24 of 46 episodes), and in AI-based lessons it was dynamically reconfigured in real time by AI-generated learning data |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — yun-hwa-noh-hee-jeong-kim-2026, yun-hwa-noh-hee-jeong-kim-2026-2 |
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