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Using a conceptual framework during learning attenuates the loss of expert-type knowledge structure

机译:在学习过程中使用概念框架可减轻专家型知识结构的损失

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Background During evolution from novice to expert, knowledge structure develops into an abridged network organized around pathophysiological concepts. The objectives of this study were to examine the change in knowledge structure in medical students in one year and to investigate the association between the use of a conceptual framework (diagnostic scheme) and long-term knowledge structure. Methods Medical students' knowledge structure of metabolic alkalosis was studied after instruction and one year later using concept-sorting. Knowledge structure was labeled 'expert-type' if students shared ≥ 2 concepts with experts and 'novice-type' if they shared Results Thirty-four medical students completed the concept-sorting task on both occasions. Twenty-four used a diagnostic scheme for metabolic alkalosis. Short-term knowledge structure was not a correlate of long-term knowledge structure, whereas use of a diagnostic scheme was associated with increased odds of expert-type long-term knowledge structure (odds ratio 12.6 [1.4, 116.0], p = 0.02). There was an interaction between short-term knowledge structure and the use of a diagnostic scheme. In the group who did not use a diagnostic scheme the number of students changing from expert-type to novice-type was greater than vice versa (p = 0.046). There was no significant change in the group that used the diagnostic scheme (p = 0.6). Conclusion The use of a diagnostic scheme by students may attenuate the loss of expert-type knowledge structure.
机译:背景技术在从新手到专家的演变过程中,知识结构发展为围绕病理生理学概念组织的简化网络。这项研究的目的是研究医学生一年内知识结构的变化,并研究概念框架(诊断方案)的使用与长期知识结构之间的关系。方法对医学生代谢性碱中毒的知识结构进行指导后和一年后的概念分类研究。如果学生与专家共享≥2个概念,则知识结构被标记为“专家类型”,如果学生共享≥2个概念,则知识结构被标记为“新手类型”。共有34名医学生在两种情况下均完成了概念分类任务。 24个使用了诊断性碱中毒的诊断方案。短期知识结构与长期知识结构无关,而使用诊断方案与专家型长期知识结构的几率增加相关(赔率比12.6 [1.4,116.0],p = 0.02) 。短期知识结构与诊断方案的使用之间存在相互作用。在未使用诊断方案的小组中,从专家型变为新手型的学生人数大于反之(p = 0.046)。使用该诊断方案的组中无显着变化(p = 0.6)。结论学生使用诊断方案可以减轻专家型知识结构的损失。

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