Traboulsi Danya, Hardin Jori, Parsons Laurie, Waechter Jason
Division of Dermatology, Department of Medicine, University of Calgary, Alberta, Canada.
Departments of Critical Care and Anesthesiology, University of Calgary, Alberta, Canada.
Can Med Educ J. 2019 Jul 24;10(3):e82-e90. eCollection 2019 Jul.
Deliberate practice is an important method of skill acquisition and is under-utilized in dermatology training. We delivered a dermatologic morphology training module with immediate feedback for first year medical students. Our goal was to determine whether there are differences in accuracy and learning efficiency between self- regulated and algorithm-regulated groups.
First year medical students at the University of Calgary completed a dermatologic morphology module. We randomly assigned them to either a self-regulated arm (students removed cases from the practice pool at their discretion) or an algorithm-regulated arm (an algorithm determined when a case would be removed). We then administered a pre-survey, pre-test, post-test, and post-survey. Data collected included mean diagnostic accuracy of the practice sessions and tests, and the time spent practicing. The surveys assessed demographic data and student satisfaction.
Students in the algorithm-regulated arm completed more cases than the self-regulated arm (52.9 vs. 29.3, p<0.001) and spent twice as much time completing the module than the self-regulated participants (34.3 vs. 17.0 min., p<0.001). Mean scores were equivalent between the algorithm- and self-regulated groups for the pre-test (63% vs. 66%, n = 54) and post-test (90% vs. 86%, n = 10), respectively. Both arms demonstrated statistically significant improvement in the post-test.
Both the self-regulated and algorithm-regulated arms improved at post-test. Students spent significantly less time practicing in the self-directed arm, suggesting it was more efficient.
刻意练习是技能习得的重要方法,但在皮肤科培训中未得到充分利用。我们为一年级医学生提供了一个具有即时反馈的皮肤形态学培训模块。我们的目标是确定自我调节组和算法调节组在准确性和学习效率上是否存在差异。
卡尔加里大学的一年级医学生完成了一个皮肤形态学模块。我们将他们随机分配到自我调节组(学生自行决定从练习库中移除病例)或算法调节组(由算法决定何时移除病例)。然后我们进行了预调查、预测试、后测试和后调查。收集的数据包括练习课程和测试的平均诊断准确性以及练习所花费的时间。调查评估了人口统计学数据和学生满意度。
算法调节组的学生完成的病例比自我调节组多(52.9对29.3,p<0.001),并且完成模块所花费的时间是自我调节组参与者的两倍(34.3对17.0分钟,p<0.001)。算法调节组和自我调节组在预测试中的平均分数分别为63%对66%(n = 54),在后测试中的平均分数分别为90%对86%(n = 10)。两组在后测试中均显示出统计学上的显著进步。
自我调节组和算法调节组在后测试中均有进步。自我指导组的学生练习时间明显更少,表明其效率更高。