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What makes a great radiology review course lecture: the Ottawa radiology resident review course experience

机译:出色的放射学复习课程讲座是什么:渥太华放射学居民复习课程经验

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Background Little objective evidence exists regarding what makes a good lecture.?Our purpose was to determine qualities of radiology review course lectures that are associated with positive audience evaluation. Methods 57 presentations from the Ottawa Resident Review Course (2012) were analyzed by a PGY4 radiology resident blinded to the result of audience evaluation. Objective data extracted were: slides per minute, lines of text per text slide, words per text slide, cases per minute, images per minute, images per case, number of audience laughs, number of questions posed to the audience, number of summaries, inclusion of learning objectives, ending on time, use of pre/post-test and use of special effects. Mean audience evaluation scores for each talk from daily audience evaluations (up to 60 per talk) were standardized out of 100. Correlation coefficient was calculated between continuous variables and audience evaluation scores. Student T test was performed on categorical variables and audience evaluation scores. Results Strongest positive association with audience evaluation scores was for image quality (r?=?0.57) and number of times the audience laughed (r?=?0.3). Strongest negative association was between images per case and audience scores (r?=?-0.25). Talks with special effects were rated better (mean score 94.3 vs. 87.1, p? Conclusion Many factors go into making a great review course lecture. At the University of Ottawa Resident Review Course, high quality images, use of special effects, use of pre/post-test and humor were most strongly associated with high audience evaluation scores. High image volume per case may be negatively associated with audience evaluation scores.
机译:背景几乎没有客观的证据可以证明什么是好的演讲。我们的目的是确定与积极的听众评价相关的放射学复习课程的质量。方法PGY4放射科住院医师对渥太华居民回顾课程(2012年)中的57个演示文稿进行了分析,他们不了解听众的评估结果。提取的客观数据包括:每分钟幻灯片,每条文本幻灯片的行数,每条文本幻灯片的字数,每分钟的案例数,每分钟的图像数,每例的图像数,听众的笑声数量,向听众提出的问题数量,摘要数量包括学习目标,按时结束,使用前/后测试和使用特殊效果。每日听众评估中每个演讲的平均听众评估分数(每个演讲最多60个)被标准化为100。在连续变量和听众评估分数之间计算了相关系数。对分类变量和受众评估分数进行了学生T检验。结果与观众评价得分之间最强的正相关是图像质量(r?=?0.57)和观众笑的次数(r?=?0.3)。每种情况下的图像与观众得分之间的负相关性最强(r?=?-0.25)。带有特殊效果的谈话的评分更高(平均分94.3 vs. 87.1,p?结论)做出出色的回顾课程演讲的因素很多。在渥太华大学居民回顾课程中,高质量的图像,特殊效果的使用,预/ post-test和幽默感与较高的受众评估分数密切相关,每例高图像量可能与受众评估分数负相关。

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