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Figure Facts: Encouraging Undergraduates to Take a Data-Centered Approach to Reading Primary Literature

机译:图的事实:鼓励大学生采取以数据为中心的方法来阅读主要文献

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摘要

The ability to interpret experimental data is essential to understanding and participating in the process of scientific discovery. Reading primary research articles can be a frustrating experience for undergraduate biology students because they have very little experience interpreting data. To enhance their data interpretation skills, students used a template called “Figure Facts” to assist them with primary literature–based reading assignments in an advanced cellular neuroscience course. The Figure Facts template encourages students to adopt a data-centric approach, rather than a text-based approach, to understand research articles. Specifically, Figure Facts requires students to focus on the experimental data presented in each figure and identify specific conclusions that may be drawn from those results. Students who used Figure Facts for one semester increased the amount of time they spent examining figures in a primary research article, and regular exposure to primary literature was associated with improved student performance on a data interpretation skills test. Students reported decreased frustration associated with interpreting data figures, and their opinions of the Figure Facts template were overwhelmingly positive. In this paper, we present Figure Facts for others to adopt and adapt, with reflection on its implementation and effectiveness in improving undergraduate science education.
机译:解释实验数据的能力对于理解和参与科学发现过程至关重要。阅读基础研究文章可能会使生物学专业的本科生感到沮丧,因为他们几乎没有解释数据的经验。为了提高他们的数据解释能力,学生使用了一个称为“数字事实”的模板,以帮助他们完成高级细胞神经科学课程中基于文献的主要阅读任务。 Figure Facts模板鼓励学生采用以数据为中心的方法而不是基于文本的方法来理解研究文章。具体来说,“数字事实”要求学生专注于每个图中显示的实验数据,并确定可以从这些结果中得出的具体结论。在一个学期使用“数字事实”的学生增加了他们在主要研究文章中检查数字所花费的时间,并且定期接触主要文献与数据解释技能测试中学生表现的改善有关。学生们报告说,与解释数据图有关的挫败感有所降低,并且他们对Figure Facts模板的看法绝大多数是正面的。在本文中,我们提出了供其他人采用和适应的数字事实,以反映其实施和改进本科科学教育的有效性。

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