The impact of interactive clinically-based learning on the performance of medical students in radiology

被引:3
作者
Wachsman, Uriel [1 ]
Shelef, Ilan [1 ]
Lior, Yotam [1 ]
Ben-Arie, Gal [1 ]
机构
[1] Ben Gurion Univ Negev, Soroka Med Ctr, Radiol Dept, 151 Yitzchak Rager St, Beer Sheva, Israel
关键词
Radiology; Education; Medical students; Interactive learning; EDUCATION; CLERKSHIP;
D O I
10.1016/j.ejro.2023.100493
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Objectives: The purpose of this study is to evaluate the effectiveness of changing the teaching method in the radiology course at a medical school from lecture-based learning to clinically case-based learning using inter-active methods, with the aim to improve undergraduate radiology education and students' diagnostic abilities.Methods: During the 2018-2019 academic year, we compared the achievements of medical students in the radiology course. Teaching in the first year was primarily conducted through conventional lectures (traditional course; TC), while in the following year, a case-based teaching approach along with an interactive web appli-cation called "Nearpod" (clinically-oriented course; COC) was employed to motivate student participation. The student knowledge assessments were composed of identical post-test questions, which included five images of common diagnoses. The results were compared using Pearson's Chi-Square test or Fisher Exact Test.Results: There were 72 students who answered the post-test in the first year and 55 students responded in the second year. Post-test student achievements following the methodological changes were significantly higher as compared with the control group in the total grade (65.1 & PLUSMN; 21.5 vs. 40.8 & PLUSMN; 19.1, p < 0.001). An improvement in the identification rates of all assessed cases was noticed, with the most prominent improvement in pneumothorax recognition (4.2% vs. 61.8%, p < 0.001).Conclusion: Teaching radiology using clinical case-based teaching methods combined with web-based interactive applications like Nearpod results in significant improvements in identifying key imaging pathologies when compared to traditional teaching methods. This approach has the potential to enhance radiology learning and better prepare students for their future roles as clinicians.
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