K-12 students and teachers both consider AI imperfect at detecting students' knowledge and assigning appropriate tasks, and therefore prefer more human control over AI decisions¶
Claim · All claims
Evidence · 1 study · qualitativer3·q2
Currency · no dated study recorded · 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.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Both students and teachers judged AI-based systems imperfect at detecting students' knowledge and preferences and assigning appropriate tasks, leading both groups to prefer more human control in the classroom. → trust-summary
Evidence¶
trust-summary¶
Tomohiro Nagashima, Lisa Siegrist, Niklas Scholz, Shintaro Sato, Martina Vincoli, and Man Su. 2026. Mind the Trust Gap: Identifying (Mis)alignments in Teacher-Student Views Toward Control and Agency in K-12 Classroom AI. Proc. ACM Hum.-Comput. Interact. 10, 6, Article CSCW124. https://doi.org/10.1145/3816972
q2 · i? · qualitative · r3
Qualitative speed-dating study with 16 students and 15 teachers in Germany; this summary comes from the Trust in AI theme, where participants gave examples of AI misjudging task difficulty and trivial input errors. The article reports that both groups "therefore preferr[ed] more human control."
"students and teachers both considered that AI is still imperfect in detecting students' knowledge and preferences and assigning appropriate tasks, therefore preferring more human control."
Discussion¶
Related Claims¶
- During pairing, both teachers and students favored shared decision-making over full student control for roles, partners, and collaboration content.
- Low-level feedback automation is appropriate only for sentence-level clarity; argumentative unclarity should trigger human review
- Working with imperfect AI outputs under mentor supervision was followed by students developing skepticism and independent debugging skills
- Post-interaction reflections reveal four preference themes: AI as formative learning aid, preference for human authority, conditional acceptance, and skepticism about educational impact — a broader claim this one bears on
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
students-teachers-see-ai-imperfect-prefer-human-control |
title |
K-12 students and teachers both consider AI imperfect at detecting students' knowledge and assigning appropriate tasks, and therefore prefer more human control over AI decisions |
description |
K-12 students and teachers both consider AI imperfect at detecting students' knowledge and assigning appropriate tasks, and therefore prefer more human control over AI decisions |
status |
review |
evidence_strength |
moderate |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — trust-summary |
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