Latent profile analysis of pre-service teachers' ChatGPT acceptance yields four highly distinguishable profiles, with Pragmatic Evaluators the largest (47.66%)¶
Claim · All claims
Evidence · 1 study · associationalr1·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.
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q2 i? LPA on five acceptance constructs identified four profiles (Pragmatic Evaluators 47.66%, Environmental Observers 11.72%, Technology Pioneers 26.56%, Resistant Skeptics 14.06%) with very high class separation. → 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 · i? · associational · r1
Latent profile analysis of z-standardized PU, PEOU, AT, SI, and FC scores from 128 pre-service teachers; the four-profile solution was selected over two-to-five-profile competitors. The article reports "The entropy value was 0.985" and a significant BLRT (116.70, p = .0099).
"The entropy value was 0.985, indicat - ing high classification accuracy, and the BLRT was sig - nificant (BLRT = 116.70, p = .0099), providing additional support for model differentiation."
Discussion¶
Related 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 — related
- The four acceptance profiles differ substantially in behavioral intention to use ChatGPT — related
- Latent Class Analysis identifies six provisional manager typologies with heterogeneous readiness and barrier profiles — related
- Four distinct LLM learner profiles emerge from latent class analysis of learning contexts, tasks, and devices — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
four-chatgpt-acceptance-profiles-lpa |
title |
Latent profile analysis of pre-service teachers' ChatGPT acceptance yields four highly distinguishable profiles, with Pragmatic Evaluators the largest (47.66%) |
description |
Latent profile analysis of pre-service teachers' ChatGPT acceptance yields four highly distinguishable profiles, with Pragmatic Evaluators the largest (47.66%) |
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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