Artificial Intelligence-Supported Performance-Based Assessment in Oral Radiology Education: A Constructive Alignment Perspective
Sinem Coşkun Albayrak, Fazıl Serdar Gürel, Gözde Kubat, Özlem Coşkun, Işıl İrem Budakoğlu, Kaan Orhan · 2026
Read Artificial Intelligence-Supported Performance-Based Assessment in Oral Radiology Education: A Constructive Alignment Perspective by Sinem Coşkun Albayrak, Fazıl Serdar Gürel, Gözde Kubat, Özlem Coşkun, Işıl İrem Budakoğlu, Kaan Orhan (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-13510951.txt.
Description
Background/Objectives: This study aimed to examine the educational implications of an AI-supported performance-based assessment platform in oral radiology education within a constructively aligned framework. Methods: A total of 266 fourth-year dental students evaluated five panoramic radiographs using an AI-supported lesion detection platform with a predefined detection confidence threshold of 40%.
Catalog record
| CREATOR | Sinem Coşkun Albayrak, Fazıl Serdar Gürel, Gözde Kubat, Özlem Coşkun, Işıl İrem Budakoğlu, Kaan Orhan |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 29 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |