Claims

Organizational support positively predicts both AI literacy and technological self-efficacy among university faculty

Claim · All claims
Evidence · 1 study · associational r2 · q2
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.

q2 i? Organizational support significantly and positively predicts AI literacy (β = 0.217, p < 0.001). → Liu 2026 q2 i? Organizational support significantly and positively predicts technological self-efficacy (β = 0.281, p < 0.001). → Liu 2026

Evidence

Liu 2026

Liu, W.; Li, Y.; Yan, Y.; Wang, J.; Wang, J.; Zhang, H. (2026). Exploring University Faculty’s AI Well-Being: A Structural Equation Model of Social Supports, AI Literacy, and Technological Self-Efficacy. Behavioral Sciences. https://doi.org/10.3390/bs16071168

q2 · i? · associational · r2

Same SEM of the 502-faculty cross-sectional survey, Results §4.2. The authors state that "organizational support positively predicted both AI literacy" and technological self-efficacy with the printed standardized coefficients, attributing this to institutional infrastructure, policy incentives, and strategic alignment.

"organizational support positively predicted both AI literacy (β = 0.217, p < 0.001) and technological self-efficacy (β = 0.281, p < 0.001)"

Discussion

Page metadata
Field Value
type claim
id organizational-support-predicts-ai-literacy-and-self-efficacy
title Organizational support positively predicts both AI literacy and technological self-efficacy among university faculty
description Organizational support positively predicts both AI literacy and technological self-efficacy among university faculty
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 1 — liu-2026

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