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Randomized Experiments01:13

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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
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E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
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相关实验视频

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Using MazeSuite and Functional Near Infrared Spectroscopy to Study Learning in Spatial Navigation
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我们是在谈论练习吗? 一项随机研究将基于模拟的故意练习和掌握学习与自我引导的练习进行比较.

Andrew Petrosoniak1, Jonathan Sherbino2,3,4, Thomas Beardsley5

  • 1Division of Emergency Medicine, Department of Medicine, University of Toronto, St. Michael's Hospital, Toronto, ON, Canada. petro82@gmail.com.

CJEM
|June 16, 2023
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概括

与自我指导练习相比,掌握学习和故意练习并没有显著改善bougie辅助cricothyroidotomy技能表现. 然而,这种方法确实导致了紧急医疗住院医生更快的表现时间.

关键词:
空气通道 气道 气道甲状腺切除术 (cricothyroidotomy) 是一种切除术.模拟模拟是为了模拟.

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科学领域:

  • 医学教育 医学教育
  • 进行外科手术技能培训.
  • 紧急医疗 紧急医疗

背景情况:

  • 基于模拟的培训对于高敏度,低频率 (HALO) 医疗程序至关重要.
  • 掌握学习和刻意练习 (ML+DP) 是有效的,但资源密集的教育方法.
  • 对罕见手术的自我指导实践进行ML+DP评估是必不可少的.

研究的目的:

  • 为了比较ML+DP与自导实践对bougie辅助cricothyroidotomy (BAC) 技能获得和保留的有效性.
  • 评估不同培训方法对技能表现的影响,包括准确性和速度.
  • 确定通过ML+DP和自我指导实践学到的技能的长期保留.

主要方法:

  • 一项多中心随机研究,涉及176名急诊医疗人员.
  • 随机分配到ML+DP或自导练习组进行BAC培训.
  • 由盲人专家在测试前,测试后和6-12个月的保留间隔进行基于视频的技能绩效评估.

主要成果:

  • 所有参与者从测试前到测试后的BAC技能表现 (GRS) 显著改善.
  • 在测试后或保留时,ML+DP和自导小组之间的全球评分表 (GRS) 评分没有显著差异.
  • 与自我引导组相比,ML+DP组在保留测试中表现得显著更快.

结论:

  • 在BAC中,ML+DP和自导练习产生了类似的整体技能表现.
  • ML+DP培训导致技能表现时间的改善,表明提高了效率.
  • 进一步的研究可能会探索优化资源密集型方法,如ML+DP用于HALO程序.