Approximately 13 percent of undergraduates decline AI use for ethical rather than practical reasons, a group undetectable through reliance-scale scores¶
Claim · All claims
Evidence · 1 study · qualitativer?·q3
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.
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q3 i? 13.0% of SUR361 respondents reported principled non-use of AI for ethical reasons, and this abstention-mode population is not detectable through scale scores alone. → Shahin Hossain 2026
Evidence¶
Shahin Hossain 2026¶
Shahin Hossain. (2026). Four Types of LLM Reliance and Their Predictors Among Undergraduate Writers: A Mixed-Methods Study at a Minority-Serving R1 University. arXiv. https://arxiv.org/abs/2606.28749 doi:10.48550/arxiv.2606.28749
q3 · i? · qualitative · r?
Qualitative strand of the mixed-methods study: open-ended survey item completed by 361 of 382 respondents (SUR361). The printed figure is "13.0% of SUR361 respondents reporting principled non-use"; these students scored as low-intensity Strategic quantitatively while refusing categorically.
"the abstention-mode population identified in the qualitative phase (13.0% of SUR361 respondents reporting principled non-use) is not detectable through scale scores alone; they registered low-intensity strategic profiles quantitatively while articulating categorical refusal qualitatively."
Discussion¶
Related Claims¶
- Academic integrity, professional development, and equity concerns about AI span all surveyed units, though interpreted differently — related
- Layer 1 survey (N=54) found mostly daily or weekly but largely passive AI use, with persistent ethical anxiety described as cheating fears or hallucination worries — related
- Students exercise ethical agency in GenAI use through human-AI collaboration strategies, personal ethical frameworks, strategic calibration of use, and resistance to over-reliance — related
- A large introductory statistics unit integrated AI-enabled elements (AI-assisted poster assessment, AI-enhanced lectures, and an AI chatbot) to complement statistical reasoning — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ethical-abstention-group-undetectable-by-scales |
title |
Approximately 13 percent of undergraduates decline AI use for ethical rather than practical reasons, a group undetectable through reliance-scale scores |
description |
Approximately 13 percent of undergraduates decline AI use for ethical rather than practical reasons, a group undetectable through reliance-scale scores |
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 — shahin-hossain-2026 |
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