An Ai-Supported Biostatistics E-Course Based on the Successive Approximation Model: Evaluation in Medical Education
Nazgul Omarbekova, Berik Koichubekov, Khamida Abdikadirova, Marina Sorokina, Azamat Kharin, Manshuk Nurmaganbetova · 2026
Read An Ai-Supported Biostatistics E-Course Based on the Successive Approximation Model: Evaluation in Medical Education by Nazgul Omarbekova, Berik Koichubekov, Khamida Abdikadirova, Marina Sorokina, Azamat Kharin, Manshuk Nurmaganbetova (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-13148260.txt.
Description
Nazgul Omarbekova and co-authors judge an online statistics course for medical students in a 2026 study. The course was built in rounds, with drafts tested and refined, a method called the successive approximation model. An AI helper added tailored support for learners.
The course ran at Karaganda Medical University in modular form. Two hundred fifteen students took it, and more joined the early needs study. Surveys asked students and builders how the course felt and worked. About sixty-five percent of students rated it well across key areas. They said it beat older formats for ease of use and grasp of the topic. Few gave poor marks. The study adds rare proof on mixing AI with round-by-round course design.
Catalog record
| CREATOR | Nazgul Omarbekova, Berik Koichubekov, Khamida Abdikadirova, Marina Sorokina, Azamat Kharin, Manshuk Nurmaganbetova |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 50 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |