Teachers' tool preferences are stage-dependent, with pre-gen valued for ideation, mid-gen for structuring, post-gen for finalization, motivating hybrid workflows¶

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? Fifteen teachers explicitly requested hybrid systems that support automated generation from prompts followed by manual, object-level refinement. → Zhengxu Li 2026

Evidence¶

Zhengxu Li 2026¶

Zhengxu Li, Junling Wang, and April Yi Wang. (2026). When Should Teachers Control AI Generation for Mathematics Visuals? arXiv preprint. https://arxiv.org/abs/2605.10672 doi:10.48550/arxiv.2605.10672

q3 · i? · causal · r2

Interview findings from the 24-teacher mixed-methods study: "15 teachers explicitly requested systems that support automated generation from prompts followed by manual, object-level refinement". Pre-gen received the highest mean score on Q9 (ideation). No effect size printed.

"Rather than committing to a single paradigm, 15 teachers explicitly requested systems that support automated generation from prompts followed by manual, object-level refinement."

Discussion¶

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