Işıl İrem Budakoğlu

Biographic Data

ID9555552
NAMEIşıl İrem Budakoğlu
GIVEN NAMESIşıl İrem
FAMILY NAMEBudakoğlu
SIGNATUREBUDAKOĞLU I İ
AFFILIATIONSGazi University
ORCID0000-0003-1517-3169
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX0

  • ‘ChatGPT can make mistakes’ warnings fail

    Open AccessYavuz Selim Kıyak, Özlem Coşkun et al.ARTICLEMedical Education2026

  • Large language models for generating script concordance test in obstetrics and gynecology

    Zuhal Yapıcı Coşkun, Yavuz Selim Kıyak et al.ARTICLEMedical Teacher2025

    OBJECTIVE: To evaluate the performance of large language models (ChatGPT-4o and Claude 3.5 Sonnet) to generate script concordance test (SCT) items for assessing clinical reasoning in obstetrics and gynecology. METHODS: This cross-sectional study involved the generation of SCT items for five common diagnostic topics in obstetrics and gynecology in primary care settings. A total of 16 panelists evaluated the AI-generated SCT items against 11 predef…

  • ChatGPT to generate clinical vignettes for teaching and multiple-choice questions for assessment

    Özlem Coşkun, Yavuz Selim Kıyak et al.ARTICLEMedical Teacher2025

    AIM: This study aimed to evaluate the real-life performance of clinical vignettes and multiple-choice questions generated by using ChatGPT. METHODS: This was a randomized controlled study in an evidence-based medicine training program. We randomly assigned seventy-four medical students to two groups. The ChatGPT group received ill-defined cases generated by ChatGPT, while the control group received human-written cases. At the end of the training,…

  • Keeping humans in the loop efficiently by generating question templates instead of questions using AI

    Yavuz Selim Kıyak, Emre Emekli et al.ARTICLEMedical Teacher2025

    BACKGROUND: Manually creating multiple-choice questions (MCQ) is inefficient. Automatic item generation (AIG) offers a scalable solution, with two main approaches: template-based and non-template-based (AI-driven). Template-based AIG ensures accuracy but requires significant expert input to develop templates. In contrast, AI-driven AIG can generate questions quickly but with inaccuracies. The Hybrid AIG combines the strengths of both methods. How…

  • The effect of watching lecture videos at 2× speed on memory retention performance of medical students

    Yavuz Selim Kıyak, Işıl İrem Budakoğlu et al.ARTICLEMedical Teacher2023

    Aim This study aimed to determine how watching lecture videos at 1× and 2× speeds affects memory retention in medical students.Methods A posttest-only experimental design was utilized. The participants were 60 Year-1 and Year-2 medical students. The participants were assigned to one of two groups through stratified randomization: Group 1 would watch the video at 1× speed, and Group 2 at 2× speed. Their performance was assessed using a test compri…