Introduction to Medical Statistics Software Using the Flipped Classroom: A Pilot Study

IF 1.5 Q2 EDUCATION, SCIENTIFIC DISCIPLINES
B. Mayer, Anja Kuemmel, Marianne Meule, R. Muche
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引用次数: 0

Abstract

Abstract Teaching practical skills is of particular interest in the study of human medicine. With regard to medical statistics this means the use of statistical software, which may be effectively taught by a flipped classroom approach. As a pilot study, we designed and implemented an elective course on medical statistics that focused on hands-on data analysis in SAS Studio. Students independently prepared for class using materials such as pretaped asynchronous lectures, and worked on exercises during synchronous class sessions. On course evaluations completed by n 15 students out of 26, students rated their satisfaction with the course a mean of 1.3 (SD 0.6) on a scale where 1 best and 6 worst. Twelve (80%) indicated that they processed all materials provided, and 11 students (73%) rated the frequency of direct contact with the instructor as sufficient. Nearly all (14 out of 15) viewed the course as an adequate substitute for a full face-to-face course. Our results suggest that the proposed course design is well-accepted. The flipped classroom format offers high flexibility and can be implemented easily online. Our pilot data are encouraging regarding the aim of designing a prospective follow-up study which compares the flipped classroom approach to a teaching format based on attendance.
使用翻转课堂的医学统计软件导论:一项试点研究
摘要实践技能教学在人类医学研究中具有特殊的意义。关于医学统计学,这意味着使用统计软件,可以通过翻转课堂的方法进行有效的教学。作为一项试点研究,我们设计并实施了一门医学统计学选修课,重点是在SAS Studio中进行实际数据分析。学生们使用预先录制的异步讲座等材料独立准备上课,并在同步上课期间进行练习。在26名学生中有15名学生完成的课程评估中,学生对课程的满意度平均为1.3(SD 0.6),其中1名为最佳,6名为最差。12名(80%)学生表示他们处理了提供的所有材料,11名(73%)学生认为与讲师直接接触的频率足够。几乎所有人(15人中有14人)都认为该课程完全可以替代面对面的课程。我们的研究结果表明,所提出的课程设计是被广泛接受的。翻转课堂形式提供了很高的灵活性,可以很容易地在网上实施。我们的试点数据令人鼓舞,旨在设计一项前瞻性的后续研究,将翻转课堂方法与基于出勤率的教学模式进行比较。
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来源期刊
Journal of Statistics and Data Science Education
Journal of Statistics and Data Science Education EDUCATION, SCIENTIFIC DISCIPLINES-
CiteScore
3.90
自引率
35.30%
发文量
52
审稿时长
12 weeks
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