Artificial intelligence and academic writing questionnaire (AI-AWQ): development and validation among medical students’ experiences using exploratory factor analysis
Laleh Khojasteh, Zahra Karimian, Elham Nasiri, Reza Kafipour, Amir Yousef Farahmandi · 2025
Read Artificial intelligence and academic writing questionnaire (AI-AWQ): development and validation among medical students’ experiences using exploratory factor analysis by Laleh Khojasteh, Zahra Karimian, Elham Nasiri, Reza Kafipour, Amir Yousef Farahmandi (2025) 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-12709866.txt.
Description
Laleh Khojasteh and four co-authors build and validate a questionnaire measuring how medical students feel about AI help with academic writing, in this 2025 paper. Universities need to know more than whether students use such tools; attitudes split into usefulness, ethics, and emotion, and policy should rest on measurement rather than anecdote.
Their thirty-item questionnaire went to 252 medical and dental students at an Iranian university who had taken an academic writing course. Factor analysis found a clean structure: five factors covering perceived effectiveness, ethical and authenticity worries, the writing process itself, feedback and improvement, and emotional impact. Together they explained about seventy-eight percent of the response variance. Content validity indices and an internal consistency of 0.883 backed the instrument. The authors offer it as a foundation for studying AI's place in scholarly writing education.
Catalog record
| CREATOR | Laleh Khojasteh, Zahra Karimian, Elham Nasiri, Reza Kafipour, Amir Yousef Farahmandi |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 104 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |