Development and validation of a forward-looking metacognitive AI readiness scale for Jordanian teachers
Haitham Salem Baibers, Mohammad Nayef Ayasrah · 2026
Read Development and validation of a forward-looking metacognitive AI readiness scale for Jordanian teachers by Haitham Salem Baibers, Mohammad Nayef Ayasrah (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13324279.txt.
Description
Haitham Salem Baibers and Mohammad Nayef Ayasrah build a scale for teachers' forward-looking readiness to work with AI, in a 2026 study of secondary teachers in Jordan. Items grew from literature and interviews with 22 teachers, then passed expert review and cognitive testing before field use.
An online survey of 640 teachers split into two halves for exploratory and confirmatory factor analysis. Five factors held, covering foresight planning, adaptive instruction control, algorithmic anticipation, human-AI synergy and long-term reflective practice, across 45 items. Reliability and repeat stability rated high in their checks, and validity tests supported the structure. The authors offer the scale as a context-fitted tool for planning teacher development in AI-rich schools.
Catalog record
| CREATOR | Haitham Salem Baibers, Mohammad Nayef Ayasrah |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 76346 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |