Claims

Disciplinary background is strongly associated with ChatGPT acceptance profile membership: STEM teachers concentrate in Technology Pioneers, non-STEM teachers in Environmental Observers and Resistant Skeptics

Claim · All claims
Evidence · 1 study · associational r1 · q2 · i2 medium
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 i2 Profile membership differs by disciplinary background (χ²(3) = 36.20, p < .001, Cramer's V = 0.532), with STEM teachers concentrated in Technology Pioneers and non-STEM teachers overrepresented in Environmental Observers and Resistant Skeptics. → Pei-Hua Chen 2026

Evidence

Pei-Hua Chen 2026

Pei-Hua Chen, Hsin-Yu Lee, Yueh-Min Huang and Ting-Ting Wu. (2026). Unpacking the heterogeneity of pre-service teachers' ChatGPT acceptance: a latent profile analysis across STEM and non-STEM disciplines. International Journal of STEM Education. https://doi.org/10.1186/s40594-026-00634-x

q2 · i2 · associational · r1

Chi-square test of a contingency table crossing STEM/non-STEM background with the four LPA profiles among 128 pre-service teachers (68 STEM, 60 non-STEM). The article reports "Cramer's V = 0.532, corresponds to a medium-to-large association"; Fisher's exact test was also significant.

"The chi-square test of independence showed a highly significant association between disciplinary background and latent profile membership, χ²(3) = 36.20, p < .001. Fisher's exact test also indicated a robust association, p < .001. The effect size, Cramer's V = 0.532, corresponds to a medium-to-large association."

Discussion

Page metadata
Field Value
type claim
id discipline-associates-with-acceptance-profile
title Disciplinary background is strongly associated with ChatGPT acceptance profile membership: STEM teachers concentrate in Technology Pioneers, non-STEM teachers in Environmental Observers and Resistant Skeptics
description Disciplinary background is strongly associated with ChatGPT acceptance profile membership: STEM teachers concentrate in Technology Pioneers, non-STEM teachers in Environmental Observers and Resistant Skeptics
status review
evidence_strength moderate
newest_evidence 2026
recheck_by 2031
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — pei-hua-chen-2026

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