Perceived social support positively predicts both AI literacy and technological self-efficacy among university faculty¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2026 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · 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? Social support significantly and positively predicts AI literacy (β = 0.435, p < 0.001). → Liu 2026
q2 i? Social support significantly and positively predicts technological self-efficacy (β = 0.272, 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
Structural equation model of cross-sectional survey data from 502 faculty at one Chinese research university, reported in Results §4.2. The authors report that "social support exerted a significant positive influence" on both mediators, with the standardized coefficients and significance levels as printed.
"Social support exerted a significant positive influence on both AI literacy (β = 0.435, p < 0.001) and technological self-efficacy (β = 0.272, p < 0.001)"
Discussion¶
Learner Variables¶
- Self-Efficacy — outcome: instruction changes it
- Social Supports — predictor: learners who differ on it differ in outcomes
Related Claims¶
- AI literacy is the strongest predictor of faculty AI well-being in the structural model — related
- Organizational support positively predicts both AI literacy and technological self-efficacy among university faculty — related
- Social and organizational support relate to AI well-being indirectly through AI literacy and technological self-efficacy — related
- Perceived school support positively predicts AI learning self-efficacy and AI perceived usefulness among Chinese undergraduates — related
- Teacher support directly and positively predicts learning engagement in AI-assisted English learning — related
- Technological self-efficacy significantly but modestly predicts faculty AI well-being — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
social-support-predicts-ai-literacy-and-self-efficacy-faculty |
title |
Perceived social support positively predicts both AI literacy and technological self-efficacy among university faculty |
description |
Perceived social support positively predicts both AI literacy and technological self-efficacy among university faculty |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
source_checked |
2026-10-20 |
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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