Turkish undergraduates' AI associations are anchored by utilitarian concepts, with Convenience and Speed alone accounting for 18.5% of all responses¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change
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? In a multi-institution WAT sample, Convenience (f = 145) and Speed (f = 110) are the primary cognitive anchors for AI, jointly producing 255 of 1376 responses (18.5%). → İsmail Şan and Hanife Gülhan Orhan Karsak 2026
Evidence¶
İsmail Şan and Hanife Gülhan Orhan Karsak 2026¶
İsmail Şan and Hanife Gülhan Orhan Karsak. (2026). Knowing its name, not its nature: word association mapping of student AI cognition and evidence-based micro-credential design in Turkish higher education. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-026-00621-w
q2 · i? · associational · r2
Frequency analysis of 1376 WAT response tokens from 436 undergraduates at four Turkish public universities, coded into 65 canonical codes (κ = 0.87). The article reports Convenience (f = 145) and Speed (f = 110) as "the primary cognitive anchors for AI in this sample"; no standardised effect size is printed, so impact is null.
"Together these two codes account for 255 of the 1376 total responses (18.5%) - a disproportionate share that confirms their role as the primary cognitive anchors for AI in this sample."
Discussion¶
Related Claims¶
- Turkish undergraduates show a use-cognition gap: 77.7% use AI tools at least several times per week while formal AI education remains low — related
- AI governance vocabulary (bias, transparency, privacy, accountability, regulation, fairness) is a structural zero in students' AI associative networks — related
- Algorithmic and technical-mechanism concepts are marginal in students' AI networks: machine learning was produced by a single participant across 436 respondents — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
utilitarian-anchors-convenience-speed-ai-associations |
title |
Turkish undergraduates' AI associations are anchored by utilitarian concepts, with Convenience and Speed alone accounting for 18.5% of all responses |
description |
Turkish undergraduates' AI associations are anchored by utilitarian concepts, with Convenience and Speed alone accounting for 18.5% of all responses |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2031 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — ismail-şan-and-hanife-gülhan-orhan-karsak-2026 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.