参与和反评估 (EFA) 的有效性:识别有失败风险的学生
Paul R Kemp1,2, Jacob M Bradshaw3, Brijmohan Pandya3
1Imperial College School of Medicine, Imperial College London, London, UK. p.kemp@imperial.ac.uk.
BMC medical education
|November 16, 2023
概括
参与和反评估 (EFA) 是医学学生表现的有效预测指标. 更好的出席率和参与度与更好的总结性评估结果相关,并可以为有针对性的学生支持提供信息.
科学领域:
- 医学教育 医学教育
- 医学培训中的评估
背景情况:
- 帝国理工大学医学院在2019年实施了新的课程.
- 该课程包括参与和反评估 (EFA),以支持学习和总结考试绩效.
研究的目的:
- 验证参与和反评估 (EFA) 作为学生表现的预测指标.
- 评估EFA在程序性评估中的实用性,以确定需要干预的学生.
主要方法:
- 从2019/20学年到2020/21学年分析了761名学生的数据.
- 每名学生的41个EFA数据点与总结性评估绩效的比较.
- 监测学生参加和参与EFA的情况.
主要成果:
- EFA分数与总结考试成绩有显著的相关性 (第一年:r=0.63,第二年:r=0.57).
- 缺少两个或两个以上的EFA增加了不通过总结考试的可能性 (1年OR:7.97,2年OR:3.20).
- 年间EFA出席率的提高与更好的总结结果相关.
结论:
- 该EFA模型在预测总结性评估绩效方面证明了其有效性.
- EFA数据可以为及时干预提供信息,以支持学生的学习和改善结果.
- 提高学生出席率和参与形成性评估对于学术成功至关重要.
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