Most experts judged the AI-generated plans conditionally applicable, endorsing use only after correction rather than direct classroom use¶
Claim · All claims
Evidence · 1 study · designr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
Subclaims¶
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the rigour judged within that kind: what each code means.
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q2 i? Thematic analysis of open-ended applicability responses yielded three categories: 3 experts rated plans Applicable, 7 Can be applied by correction, and 1 Should not be applied. → Karaismailoglu 2026
Evidence¶
Karaismailoglu 2026¶
Karaismailoglu, F., Surmeli, H., & Yildirim, M. (2026). Suitability of Artificial Intelligence Supported Lesson Plans from the Perspective of Science Education Experts. Journal of Science Education and Technology. https://doi.org/10.1007/s10956-026-10342-4
q2 · i? · design · r2
Thematic content analysis (Braun and Clarke's framework) of eleven experts' open-ended applicability responses, coded by two researchers with weighted κ of 0.79 (95% CI: 0.68–0.90). Frequencies as printed: 3, 7, and 1 across the three categories.
"the analysis revealed that while only 3 experts considered the plans directly 'Applicable', the majority (7 experts) endorsed conditional application with modifications ('Can be applied by correction'). Only one expert rejected both plans entirely ('Should not be applied')."
Discussion¶
Related Claims¶
- A hybrid human-AI workflow using GPT-4o with retrieval-augmented generation supported efficient inductive thematic analysis while preserving researcher judgment — related
- LLM-assisted inductive qualitative coding carries risks of superficial themes, broad or redundant codes, and hallucinated interpretations, so LLMs should augment rather than replace human researchers — related
- Expert plan preferences were split, with some experts preferring the lower-scoring general-purpose plan for its social-emotional emphasis
- The education-focused AI platform (C2) received numerically higher expert ratings than the general-purpose platform (C1) across all eight overall quality criteria
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
experts-judge-ai-plans-applicable-after-correction |
title |
Most experts judged the AI-generated plans conditionally applicable, endorsing use only after correction rather than direct classroom use |
description |
Most experts judged the AI-generated plans conditionally applicable, endorsing use only after correction rather than direct classroom use |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — karaismailoglu-2026 |
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