Knowledge, Attitude, and Perception of Medical Students Toward AI‐Based Learning: A Cross‐Sectional Study
Danyal Khan, Muhammad Dawood, Ihtiram Ullah, Husna Irfan Thalib, Sadia Yasir Khan, Farasat Maheen, Mable Pereira · 2026
Read Knowledge, Attitude, and Perception of Medical Students Toward AI‐Based Learning: A Cross‐Sectional Study by Danyal Khan, Muhammad Dawood, Ihtiram Ullah, Husna Irfan Thalib, Sadia Yasir Khan, Farasat Maheen, Mable Pereira (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-13241693.txt.
Description
Khan's team at Gomal Medical College surveyed Pakistani medical students about learning with artificial intelligence. Some 392 students across Khyber Pakhtunkhwa schools filled in a set questionnaire. Knowledge, attitudes, and perceptions toward the tools were scored separately. Seniority comparisons across training years were built into the design.
Most students landed at only moderate knowledge, under a third scoring high. Seniors clearly outknew their preclinical juniors. Enthusiasm ran far ahead of understanding, with three-quarters viewing AI favorably. Khan urges planned AI teaching and faculty development in class before enthusiasm curdles into misuse.
Catalog record
| CREATOR | Danyal Khan, Muhammad Dawood, Ihtiram Ullah, Husna Irfan Thalib, Sadia Yasir Khan, Farasat Maheen, Mable Pereira |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 27 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |