Claims

Students cannot reliably distinguish AI-generated slides from human-created slides

Claim · All claims
Evidence · 1 study · causal r1 · 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? Students' human-vs-AI guesses did not differ between AI and human slides (median guess 4.0 for both). → anchor-guess

Evidence

anchor-guess

Juho Leinonen, Lisa Zhang, and Arto Hellas. 2026. AI-Generated Slides: Are They Good? Can Students Tell?. In Proceedings of Western Canada Conference on Computing Education 2026 (WCCCE 2026). ACM, New York, NY, USA. https://arxiv.org/abs/2605.13532 doi:10.48550/arxiv.2605.13532

q2 · i? · causal · r1

Same in-class survey: after each lecture segment students guessed on a 7-point scale whether slides were AI- or human-made, uninformed about which segments were AI; "the median for the guesses for both AI and human slides was 4.0", U = 28171.5, p = 0.1.

"While the median for the guesses for both AI and human slides was 4.0, students seemed not to be able to guess the source (AI vs. human) of the slides based on the Mann-Whitney U test results (U = 28171.5, p = 0.1)."

Discussion

Page metadata
Field Value
type claim
id students-cannot-identify-ai-slides
title Students cannot reliably distinguish AI-generated slides from human-created slides
description Students cannot reliably distinguish AI-generated slides from human-created slides
status review
evidence_strength moderate
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — anchor-guess

Frontmatter is the page's machine-readable record — see the Schema & Guide.