生物统计学在医学教育中的积极学习:使用算法,文章分析和SPSS模拟的教育干预
Néstor Israel Quinapanta Castro1,2, Carlos Escobar3, Jorman F Choez-A4
1Department of Doctoral Studies, Faculty of Philosophy and Letters, University of Buenos Aires, Buenos Aires, ARG.
Cureus
|March 16, 2026
概括
积极学习策略显著改善了医学学生的生物统计学表现. 多式联络方法提高了对统计测试的理解,掌握和满意度.
科学领域:
- 医学教育 医学教育
- 生物统计学 生物统计学
- 教学策略 教学策略
背景情况:
- 传统的以讲座为基础的生物统计学教学限制了医学学生对统计学概念的实际应用.
- 积极的多式模式学习策略显示出提高学习成果和参与度的潜力.
研究的目的:
- 评估一个积极的,多模式的教学干预对医学学生的生物统计学学业绩.
- 评估干预对感知的掌握能力的影响,统计测试的重要性和教学方法满意度.
主要方法:
- 一项并行组研究将干预组 (算法,SPSS模拟,文章分析) 与对照组 (传统讲座) 相比较.
- 参与者是第三学期的医学学生,随机分配到两个组.
- 学业成绩是通过考试成绩来衡量的; 通过利克特尺度来看待; 使用t测试,曼-惠特尼U和千平方测试分析的数据.
主要成果:
- 干预组在生物统计学检查中得分明显高 (p=0.001).
- 干预组的学生报告了更高的感知能力 (p=0.017),更重视统计测试 (p=0.036),并表达了更高的满意度 (p=0.015).
- 干预组显著降低了失败的几率 (OR=0.107).
结论:
- 积极的,多模式的教学干预积极影响医学学生的生物统计学学业绩.
- 结合基于算法的指令,文章评估和SPSS模拟,提高了生物统计学教育.
- 这种方法提高了学习成果和学生对统计概念的看法.
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