Students in the generative AI-supported condition reported favorable perceptions of the instruction, with feedback for correcting mistakes rated highest¶
Claim · All claims
Evidence · 1 study · causalr2·q2
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.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Perception item means ranged from 3.81 to 4.23 on a five-point scale, indicating moderate-to-strong positive perceptions. → Davor I 2026
Evidence¶
Davor I 2026¶
Davor I (2026) Generative AI-supported instruction as a cognitive scaffold: effects on senior high school students' geometric reasoning and proof construction. Front. Educ. 11:1869961. https://doi.org/10.3389/feduc.2026.1869961
q2 · i? · causal · r2
Descriptive statistics (means and SDs) on the perception subscale, assessed only among experimental-group students. The lowest-rated item was "Generative AI helps me explain my answers better in geometry" (M = 3.81, SD = 1.180) and the highest was feedback helping correct mistakes (M = 4.23, SD = .812); the article reports an overall perception mean of 4.10.
"The mean scores for the perception items ranged from 3.81 to 4.23."
Discussion¶
Related Claims¶
- The post-test advantage of generative AI-supported instruction persists after controlling for pre-test performance (ANCOVA) — related
- Students in the generative AI-supported condition reported favorable attitudes toward AI-supported geometry learning, with moderate confidence in technology use — related
- Senior high school students taught with generative AI-supported instruction scored significantly higher on geometric reasoning and proof construction than students taught conventionally — related
- GenAI-condition students rated their PBL tutorial significantly higher after the tutorial than they rated their previous ePBLM-based experiences, especially clinical accuracy — related
- Student perceptions of the autograder were mixed, with the LaTeX workflow rated more positively than the grader itself — related
- Students rate LLM-generated response-level feedback favourably, with clarity and perceived accuracy highest and actionability and usefulness lowest — related
- Under blind conditions, students rated GenAI feedback more positively than tutor-generated feedback, with a statistically significant difference only on Genuineness favouring GenAI — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
genai-geometry-favorable-perceptions |
title |
Students in the generative AI-supported condition reported favorable perceptions of the instruction, with feedback for correcting mistakes rated highest |
description |
Students in the generative AI-supported condition reported favorable perceptions of the instruction, with feedback for correcting mistakes rated highest |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — davor-i-2026 |
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