Localized faculty AI literacy scale based on UNESCO's 2024 AI Competency Framework for Teachers¶
Product or Programme · All products and programmes
Evidence · 1 claim (1 for) · 1 study (1 associational),q2· 0 of 1 report an effect size · 1 claim rests on one study
Description¶
A 15-item, five-point Likert self-report scale developed by Liu et al. to assess university faculty AI literacy across human-centered mindset, AI ethics, foundations and applications, pedagogy, and professional development at three developmental levels.
Components¶
Claims¶
Related Products and Programmes¶
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Key Sources¶
- 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
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
localized-faculty-ai-literacy-scale-based-on-unescos-2024-ai-competency-framework-for-teac |
title |
Localized faculty AI literacy scale based on UNESCO's 2024 AI Competency Framework for Teachers |
description |
A 15-item, five-point Likert self-report scale developed by Liu et al. |
status |
review |
product_kind |
assessment |
generated |
by process:settle-candidates on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
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