Gen Z students report high agreement on AI adoption constructs, with performance expectancy highest and social influence lowest¶
Claim · All claims
Evidence · 1 study · associationalr?·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.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q3 i? Descriptive statistics show very high construct means, with SI lowest at 3.587 and PE highest at 4.242. → Mohd Shafie Rosli 2026
Evidence¶
Mohd Shafie Rosli 2026¶
Mohd Shafie Rosli, Nor Shela Saleh, Azlah Md. Ali, Suaibah Abu Bakar. (2026). Exploring the Factors Influencing Artificial Intelligence Adoption among Gen Z University Students: the Role of Self-Efficacy and Perceived Trust. Journal for STEM Education Research. https://doi.org/10.1007/s41979-025-00171-2
q3 · i? · associational · r?
Descriptive analysis of the 349-sample survey shows "construct SI having the lowest mean value of 3.587 and PE having the highest mean value of 4.242", with standard deviations ranging from 0.737 to 0.890, indicating high agreement with the constructs.
"The constructs had very high mean values, with construct SI having the lowest mean value of 3.587 and PE having the highest mean value of 4.242. This indicates a high level of agreement with the presented construct."
Discussion¶
Related Claims¶
- Self-efficacy, perceived trust and performance expectancy influence Gen Z students' behavioural intention to adopt AI — related
- Performance expectancy, effort expectancy, and social influence positively predict behavioral intention to use ChatGPT among Lesotho higher education students — related
- Social influence plays a diminishing role in Gen Z students' AI adoption intention — related
- Course major moderates the predictive effects on Gen Z students' AI adoption — related
- Experience influences all predictive factors of AI adoption, but its impact diminishes as experience increases — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
high-means-pe-highest-si-lowest |
title |
Gen Z students report high agreement on AI adoption constructs, with performance expectancy highest and social influence lowest |
description |
Gen Z students report high agreement on AI adoption constructs, with performance expectancy highest and social influence lowest |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-15 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — mohd-shafie-rosli-2026 |
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