AI literacy is the strongest predictor of faculty AI well-being in the structural model¶

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¶

q2 i? AI literacy significantly and positively predicts AI well-being (β = 0.713, p < 0.001), the largest path to well-being in the model. → 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

SEM path estimate from Results §4.2 of the 502-faculty survey. The article reports that "AI literacy emerged as the strongest predictor of AI well-being" among the model's predictors, with the printed standardized coefficient and significance level.

"AI literacy emerged as the strongest predictor of AI well-being (β = 0.713, p < 0.001), highlighting its central role in accounting for the variance in faculty members’ positive psychological states"

Discussion¶

Related Claims¶

• Technological self-efficacy significantly but modestly predicts faculty AI well-being — related
• Perceived social support positively predicts both AI literacy and technological self-efficacy among university faculty — 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