Copeland H L, Longworth D L, Hewson M G, Stoller J K
Division of Education, Cleveland Clinic Foundation, OH 44195, USA.
J Gen Intern Med. 2000 Jun;15(6):366-71. doi: 10.1046/j.1525-1497.2000.06439.x.
In a study conducted over 3 large symposia on intensive review of internal medicine, we previously assessed the features that were most important to course participants in evaluating the quality of a lecture. In this study, we attempt to validate these observations by assessing prospectively the extent to which ratings of specific lecture features would predict the overall evaluation of lectures.
After each lecture, 143 to 355 course participants rated the overall lecture quality of 69 speakers involved in a large symposium on intensive review of internal medicine. In addition, 7 selected participants and the course directors rated specific lecture features and overall quality for each speaker. The relations among the variables were assessed through Pearson correlation coefficients and cluster analysis. Regression analysis was performed to determine which features would predict the overall lecture quality ratings. The features that most highly correlated with ratings of overall lecture quality were the speaker's abilities to identify key points (r =.797) and be engaging (r =.782), the lecture clarity (r =.754), and the slide comprehensibility (r =.691) and format (r =.660). The three lecture features of engaging the audience, lecture clarity, and using a case-based format were identified through regression as the strongest predictors of overall lecture quality ratings (R2 = 0.67, P = 0.0001).
We have identified core lecture features that positively affect the success of the lecture. We believe our findings are useful for lecturers wanting to improve their effectiveness and for educators who design continuing medical education curricula.
在一项针对3次大型内科强化复习研讨会开展的研究中,我们之前评估了对课程参与者评估讲座质量最为重要的特征。在本研究中,我们试图通过前瞻性评估特定讲座特征的评分在多大程度上能够预测讲座的总体评价,来验证这些观察结果。
每次讲座后,143至355名课程参与者对参加大型内科强化复习研讨会的69位演讲者的讲座总体质量进行了评分。此外,7名选定的参与者和课程主任对每位演讲者的特定讲座特征和总体质量进行了评分。通过Pearson相关系数和聚类分析评估变量之间的关系。进行回归分析以确定哪些特征能够预测讲座总体质量评分。与讲座总体质量评分相关性最高的特征包括演讲者识别关键点的能力(r = 0.797)、引人入胜的能力(r = 0.782)、讲座清晰度(r = 0.754)、幻灯片可理解性(r = 0.691)和格式(r = 0.660)。通过回归分析确定,吸引听众、讲座清晰度和采用基于病例的格式这三个讲座特征是讲座总体质量评分的最强预测因素(R2 = 0.67,P = 0.0001)。
我们已经确定了对讲座成功有积极影响的核心讲座特征。我们相信我们的研究结果对希望提高教学效果的讲师以及设计继续医学教育课程的教育工作者有用。