Teaching students to R3eason, not merely to solve problem sets: The role of philosophy and visual data communication in accessible data science education.
Teaching students to R3eason, not merely to solve problem sets: The role of philosophy and visual data communication in accessible data science education.
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DOI：
10.1371/journal.pcbi.1011160
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发表时间：
2023-06
影响因子：
4.3
通讯作者：
中科院分区：
文献类型：
--
作者：
关于STEM领域统计培训的许多指导主要集中在本科生群体上，研究生教育往往缺席。定量方法和推理的培训对于生物医学和科学课程的研究生来说至关重要，以促进可重复和负责任的研究实践。我们认为，研究生教育应该更多地围绕基本的推理和整合技能，而不是主要列出一个统计检验方法后，其他没有传达更大的背景图片或关键的论证技能，使学生能够提高研究的完整性，通过严格的实践。在此，我们描述了我们在约翰霍普金斯彭博公共卫生学院的R3项目中采用的定量推理课程的方法，基于可视化和沟通能力，采用以错误为中心的透镜。具体来说，我们从讨论的不可再现性的原因出发，将其具体应用于科学中良好统计实践的许多方面，从实验设计到数据收集和分析，以及从数据中得出的结论。我们还提供了实施和调整我们的课程材料，以各种研究生生物医学和STEM科学计划的提示和指导方针。
Much guidance on statistical training in STEM fields has been focused largely on the undergraduate cohort, with graduate education often being absent from the equation. Training in quantitative methods and reasoning is critical for graduate students in biomedical and science programs to foster reproducible and responsible research practices. We argue that graduate student education should more center around fundamental reasoning and integration skills rather than mainly on listing 1 statistical test method after the other without conveying the bigger context picture or critical argumentation skills that will enable student to improve research integrity through rigorous practice. Herein, we describe the approach we take in a quantitative reasoning course in the R3 program at the Johns Hopkins Bloomberg School of Public Health, with an error-focused lens, based on visualization and communication competencies. Specifically, we take this perspective stemming from the discussed causes of irreproducibility and apply it specifically to the many aspects of good statistical practice in science, ranging from experimental design to data collection and analysis, and conclusions drawn from the data. We also provide tips and guidelines for the implementation and adaptation of our course material to various graduate biomedical and STEM science programs.
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影响因子：
4.8
作者：
Casadevall, Arturo;Steen, R. Grant;Fang, Ferric C.
通讯作者：
Fang, Ferric C.
影响因子：
3.8
作者：
Di Leo, Giovanni;Sardanelli, Francesco
通讯作者：
Sardanelli, Francesco
DOI：
10.1111/j.1365-2125.1983.tb01544.x
发表时间：
1983-01-01
影响因子：
3.4
作者：
EVANS, SJW
通讯作者：
EVANS, SJW
DOI：
10.1073/pnas.1708279115
发表时间：
2018-03-13
影响因子：
11.1
作者：
Brown, Andrew W.;Kaiser, Kathryn A.;Allison, David B.
通讯作者：
Allison, David B.
影响因子：
12.6
作者：
Cumming, Geoff
通讯作者：
Cumming, Geoff