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Structured feedback on students’ concept maps: the proverbial path to learning?

机译:对学生概念图的结构化反馈:学习的谚语之道?

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Background Good conceptual knowledge is an essential requirement for health professions students, in that they are required to apply concepts learned in the classroom to a variety of different contexts. However, the use of traditional methods of assessment limits the educator’s ability to correct students’ conceptual knowledge prior to altering the educational context. Concept mapping (CM) is an educational tool for evaluating conceptual knowledge, but little is known about its use in facilitating the development of richer knowledge frameworks. In addition, structured feedback has the potential to develop good conceptual knowledge. The purpose of this study was to use Kinchin’s criteria to assess the impact of structured feedback on the graphical complexity of CM’s by observing the development of richer knowledge frameworks. Methods Fifty-eight physiotherapy students created CM’s targeting the integration of two knowledge domains within a case-based teaching paradigm. Each student received one round of structured feedback that addressed correction, reinforcement, forensic diagnosis, benchmarking, and longitudinal development on their CM’s prior to the final submission. The concept maps were categorized according to Kinchin’s criteria as either Spoke , Chain or Net representations, and then evaluated against defined traits of meaningful learning. Results The inter-rater reliability of categorizing CM’s was good. Pre-feedback CM’s were predominantly Chain structures (57%), with Net structures appearing least often. There was a significant reduction of the basic Spoke- structured CMs ( P =?0.002) and a significant increase of Net -structured maps ( P Conclusions Feedback on CM’s seemed to have contributed towards improving conceptual knowledge and correcting naive conceptions of related knowledge. Educators in medical education could therefore consider using CM’s to target individual student development.
机译:背景技术良好的概念知识是卫生专业学生的基本要求,因为他们需要将在课堂上学到的概念应用于各种不同的环境。但是,传统的评估方法的使用限制了教育者在改变教育背景之前纠正学生的概念知识的能力。概念映射(CM)是一种用于评估概念知识的教育工具,但对其在促进丰富知识框架的开发中的用途知之甚少。此外,结构化反馈具有发展良好概念知识的潜力。这项研究的目的是通过观察更丰富的知识框架的发展,使用Kinchin的标准来评估结构化反馈对CM图形复杂性的影响。方法58位理疗专业的学生创建了CM,目标是在基于案例的教学范式中将两个知识领域整合在一起。每位学生在最终提交之前都会收到一轮结构化的反馈,这些反馈针对其CM进行了纠正,强化,法医诊断,基准测试和纵向发展。根据Kinchin的标准将概念图分类为Spoke,Chain或Net表示,然后根据有意义的学习的定义特征进行评估。结果对CM进行分类的评分者间可靠性很高。预先反馈CM主要是链结构(57%),而网状结构出现的频率最少。基本的Spoke结构CM显着减少(P = 0.002),而Net结构图显着增加(P结论CM的反馈似乎有助于改善概念知识和纠正相关知识的幼稚概念。因此,医学教育领域的学生可以考虑使用CM来针对个别学生的发展。

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