Journal article
Third Time's a Charm: A Tripartite Approach for Teaching Project Organization to Students
Journal of statistics and data science education, v 30(3), pp 261-265
18 Nov 2022
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Collaborative statisticians are instrumental to maintaining the rigor and reproducibility of multidisciplinary projects on which they collaborate. Clear, complete, well-annotated records of data, its revising, analysis, interpretation, and presentation are essential. Many students do not know how to systematically and consistently organize their digital files and cannot reliably replicate (or find!) work that may have been performed on a collaborative project. This article describes a newly developed and required one semester collaborative statistics course that includes the explicit teaching of project organization in lecture, emphasis of these skills on linked homework assignments, and their closely supervised practice through a mentored collaborative project with multidisciplinary researchers. The tripartite design provided exposure to project organization concepts during the course, encouraged straightforward implementation through homework assignments, and then challenged students with a real-world experience during a collaborative project. for this article are available online.
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Details
- Title
- Third Time's a Charm: A Tripartite Approach for Teaching Project Organization to Students
- Creators
- C. Christina Mehta - Emory UniversityRenee' H. Moore - Drexel Univ, Dornsife Sch Publ Hlth, Dept Epidemiol & Biostat, Philadelphia, PA 19104 USA
- Publication Details
- Journal of statistics and data science education, v 30(3), pp 261-265
- Publisher
- Taylor & Francis
- Number of pages
- 5
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Epidemiology and Biostatistics
- Web of Science ID
- WOS:000875543200001
- Scopus ID
- 2-s2.0-85141012928
- Other Identifier
- 991021448034104721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Education, Scientific Disciplines