Claims

Staff perceived students' use of GAI for academic purposes as more extensive than students reported themselves

Claim · All claims
Evidence · 1 study · associational r1 · 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? The mean of the Perception of Students' Use of GAI scale for staff was 5.23, compared to 3.11 for students, a significant difference. → Kahn P 2026

Evidence

Kahn P 2026

Kahn P, Carrigan M, Wyman I, Liu R, Smith P, Andonegui AR, Murtagh L and Song F (2026) Still emerging: understanding Generative AI use in Higher Education. Front. Educ. 11:1885253. https://doi.org/10.3389/feduc.2026.1885253

q2 · i? · associational · r1

Survey comparison using the validated Perception of Students' Use of GAI scale (staff) and Use of GAI for Academic Purposes scale (students). The article reports means of 5.23 versus 3.11 at p = 0.000, highlighting "the limited knowledge that staff possess in relation to student use of GAI tools."

"Students perceived that other students use GAI for academic purposes to a significantly lesser extent than staff members perceive students use GAI (see Figure 4). The mean for this scale for staff was 5.23, compared to 3.11 for students (with a t-test confirmed at p = 0.000)."

Discussion

Page metadata
Field Value
type claim
id staff-overestimate-student-gai-use
title Staff perceived students' use of GAI for academic purposes as more extensive than students reported themselves
description Staff perceived students' use of GAI for academic purposes as more extensive than students reported themselves
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 — kahn-p-2026

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