Translation, cultural adaptation, and validation of the perceived Artificial Intelligence Literacy Questionnaire-6 (PAILQ-6) in Arabic-speaking pharmacists: A cross-sectional methodological study
Ammar Abdulrahman Jairoun, Moyad Shahwan, Abeer M. Al-Ghananeem, Faris El-Dahiyat, Ammar Ali Saleh Jaber, Nasser M. Alorfi, Mansour M. Alourfi, Ammar Aldabbagh, Nasser M. Aldekhail, Faris A. Alsolami · 2026
Read Translation, cultural adaptation, and validation of the perceived Artificial Intelligence Literacy Questionnaire-6 (PAILQ-6) in Arabic-speaking pharmacists: A cross-sectional methodological study by Ammar Abdulrahman Jairoun, Moyad Shahwan, Abeer M. Al-Ghananeem, Faris El-Dahiyat, Ammar Ali Saleh Jaber, Nasser M. Alorfi, Mansour M. Alourfi, Ammar Aldabbagh, Nasser M. Aldekhail, Faris A. Alsolami (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/pmc-13590062.txt.
Description
Ammar Jairoun and nine co-authors adapt a short survey on AI skills for Arabic-speaking pharmacists, in a study dated 2026. AI tools are spreading through pharmacies, and leaders need a fair way to gauge how ready staff feel. No checked Arabic version of the six-question survey existed.
The team translated the survey, tuned it to local culture, and gave it to 500 pharmacists in Arabic-speaking countries through an online form. Standard checks tested whether the questions still hung together and measured one trait. The study also asked which age, training, or job traits track with higher self-rated AI skill. A trusted survey lets pharmacy schools and employers target training where the gaps are widest.
Catalog record
| CREATOR | Ammar Abdulrahman Jairoun, Moyad Shahwan, Abeer M. Al-Ghananeem, Faris El-Dahiyat, Ammar Ali Saleh Jaber, Nasser M. Alorfi, Mansour M. Alourfi, Ammar Aldabbagh, Nasser M. Aldekhail, Faris A. Alsolami |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 57 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |