Social and organizational support relate to AI well-being indirectly through AI literacy and technological self-efficacy¶
Claim · All claims
Evidence · 1 study · associationalr2·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? The standardized indirect effect of social support on AI well-being via the two mediators was 0.332. → Liu 2026
q2 i? The standardized indirect effect of organizational support on AI well-being via the two mediators was 0.178. → 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
Bootstrapping mediation analysis (2000 resamples, bias-corrected 95% CIs) reported in Results §4.3 of the 502-faculty survey. The article reports both indirect effects as significant, with AI literacy accounting for the majority of the indirect effect.
"the standardized indirect effect of social support on AI well-being was 0.332, while the indirect effect of organizational support was 0.178"
Discussion¶
Related Claims¶
- School-related factors influence teachers' digital data use only indirectly, mediated by teacher will-skill-tool characteristics, in a model explaining 50% of variance — related
- Self-efficacy and learning motivation serially mediate the link from AIGC affordance to self-regulated learning — related
- AI Prompting Literacy is indirectly and significantly associated with Deep Revision Engagement through Perceived Competence, Intrinsic Motivation, and Psychological Safety — related
- AI literacy relates to AI integration intention through a serial indirect pathway via AI-TPACK and science teaching self-efficacy — related
- Organizational support positively predicts both AI literacy and technological self-efficacy among university faculty — a narrower finding that bears on this claim
- Principal effects on student achievement are largely indirect, mediated through school organizational processes — related
- AI self-efficacy and self-regulated learning mediate the support–competence associations in opposite patterns for the two supports — related
- Perceived social support positively predicts both AI literacy and technological self-efficacy among university faculty — related
- Technological self-efficacy significantly but modestly predicts faculty AI well-being — related
- AI literacy is the strongest predictor of faculty AI well-being in the structural model — related
- Openness and need for relatedness are associated with teachers' AI use indirectly through pedagogical AI competence, with relatedness negatively associated with competence — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
dual-mediation-support-to-ai-well-being |
title |
Social and organizational support relate to AI well-being indirectly through AI literacy and technological self-efficacy |
description |
Social and organizational support relate to AI well-being indirectly through AI literacy and technological self-efficacy |
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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