Daily Quiz-Based Microlearning Program to Support Electrocardiogram Interpretation Training for Medical Students: A Feasibility Study

基于每日测验的微学习项目在医学生心电图判读培训中的应用:可行性研究

阅读:2

Abstract

BACKGROUND: Electrocardiogram (ECG) interpretation is a critical skill for medical students that requires regular practice to achieve competency. Microlearning is an emerging pedagogical trend that offers students repetitive, short, and focused e-learning sessions. This study aimed to assess the feasibility of a 6-week, daily, digital ECG training program based on microlearning principles among undergraduate medical students. METHODS: We conducted a bicentric noncontrolled pilot study. Volunteer medical students received a daily (from Monday to Friday) ECG quiz via commonly used digital platforms, followed by immediate feedback, for 6 weeks. The primary endpoint was the daily participation rate. Skill improvement was evaluated through a baseline test and a final test (20 questions, score ranging from 0-20). Student satisfaction and self-assessment of progression were measured. RESULTS: A total of 47 students were included. The median daily participation rate was high, at 80.9% (iinterquartile range 73.9-86.2), but it tended to decrease over time (weeks 1-2, 87.2%; weeks 3-4, 81.2%; weeks 5-6, 70.2%). A comparison of baseline and final test scores showed a significant improvement, of 1.1 points (95% confidence interval 0.15-2.1; P = 0.03), after the program. No significant correlation was found between individual participation rate and score improvement. Overall, 93% of students subjectively perceived progression, and 93% were satisfied with the training program. CONCLUSIONS: Daily quiz-based microlearning is a feasible method to support ECG training, with high initial adherence. Future controlled studies are required to evaluate the impact of integrating this approach with traditional teaching methods and assess its long-term efficacy and sustainability.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。