CHI TIẾT NGHIÊN CỨU …
Tiêu đề
Early Undergraduate Biostatistics & Data Science Introduction Using R, R Studio & the Tidyverse
Tác giả
Toro I.D.; Dickson K.; Hakes A.S.; Newman S.L.
Năm xuất bản
2022
Source title
American Biology Teacher
Số trích dẫn
1
DOI
10.1525/abt.2022.84.3.124
Liên kết
Tóm tắt
Increasingly, students training in the biological sciences depend on a proper grounding in biological statistics, data science and experimental design. As biological datasets increase in size and complexity, transparent data management and analytical methods are essential skills for undergraduate biologists. We propose that using the software R and RStudio are effective tools to train first-And second-year undergraduate students in data visualization and foundational statistical analyses. Here, we present the redesigned laboratory curriculum for our Experimental Design and Statistics course, a required course for all first-or second-year biology majors at Lawrence University, a small liberal arts institution in northeast Wisconsin. We include an example 10-week syllabus and eight laboratory exercises (as supplementary materials) for undergraduate institutions that aim to introduce and guide students through acquiring a basic understanding of biostatistical analyses and skills using R and RStudio. We also provide a flexible framework and examples that are easily modifiable and cover the essential biostatistics and data science skills needed for biology undergraduates. Finally, we discuss the potential pitfalls and obstacles as well as the intrinsic benefits and expected outcomes of our laboratories. © 2022 National Association of Biology Teachers, Inc. All rights reserved.
Từ khóa
Biological data analysis; Data ethics; Data management tools; Reproducible analyses; Statistical programming
Tài liệu tham khảo
Arnett A., Van Horn D., Connecting mathematics and science: A learning community that helps math-phobic students, Journal of College Science Teaching, 38, 6, pp. 30-34, (2009); Baumer B., A data science course for undergraduates: Thinking with data, American Statistician, 69, 4, pp. 334-342, (2015); Baumer B., Cetinkaya-Rundel M., Bray A., Loi L., Horton N.J., R Markdown: Integrating a reproducible analysis tool, Technology Innovations in Statistics Education, 8, 1, (2014); Beall C.M., Decker M.J., Brittenham G.M., Kushner I., Gebremedhin A., Strohl K.P., An Ethiopian pattern of human adaptation to high-Altitude hypoxia, Proceedings of the National Academy of Sciences of the United States of America, 99, 26, pp. 17215-17218, (2002); Beall G., The transformation of data from entomological field experiments, Biometrika, 32, 3-4, pp. 243-262, (1942); Bowyer J., Darlington E., Mathematical struggles and ensuring success: Post-compulsory mathematics as preparation for undergraduate bioscience, Journal of Biological Education, 52, 1, pp. 54-65, (2018); Broadbent N.J., Squire L.R., Clark R.E., Spatial memory, recognition memory, and the hippocampus, Proceedings of the National Academy of Sciences of the United States of America, 101, 40, pp. 14515-14520, (2004); Cushny A.R., Peebles A.R., The action of optical isomers: II. Hyoscines, The Journal of Physiology, 32, 5-6, pp. 501-510, (1905); De Veaux R.D., Agarwal M., Averett M., Baumer B.S., Bray A., Et al., Curriculum guidelines for undergraduate programs in data science, Annual Review of Statistics and Its Application, 4, pp. 15-30, (2017); Dichev C., Dicheva D., Towards data science literacy, Procedia Computer Science, 108, pp. 2151-2160, (2017); Fanelli D., Is science really facing a reproducibility crisis, and do we need it to?, Proceedings of the National Academy of Sciences of the United States of America, 115, 11, pp. 2628-2631, (2018); Feser J., Vasaly H., Herrera J., On the edge of mathematics and biology integration: Improving quantitative skills in undergraduate biology education, CBE Life Sciences Education, 12, 2, (2013); Guzman L.M., Pennell M.W., Nikelski E., Srivastava D.S., Successful integration of data science in undergraduate biostatistics courses using cognitive load theory, CBE Life Sciences Education, 18, 4, (2019); Hasselquist D., Marsh J.A., Sherman P.W., Wingfield J.C., Is avian humoral immunocompetence suppressed by testosterone?, Behavioral Ecology and Sociobiology, 45, pp. 167-175, (1999); LaMunyon C.W., Ward S., Larger sperm outcompete smaller sperm in the nematode Caenorhabditis elegans, Proceedings of the Royal Society B: Biological Sciences, 265, 1409, (1998); Marx V., The big challenges of big data, Nature, 498, pp. 255-260, (2013); Muller M.S., Porter E.T., Grace J.K., Awkerman J.A., Birchler K.T., Et al., Maltreated nestlings exhibit correlated maltreatment as adults: Evidence of a ?cycle of violence? in nazca boobies (Sula granti), The Auk, 128, 4, pp. 615-619, (2011); Parker T.H., Nakagawa S., Gurevitch J., Promoting transparency in evolutionary biology and ecology, Ecology Letters, 19, 7, pp. 726-728, (2016); Piorun M., Kafel D., Leger-Hornby T., Najafi S., Martin E., Et al., Teaching research data management: An undergraduate/graduate curriculum, Journal of EScience Librarianship, (2012); Shahira P., Starkey L., Learning to code or coding to learn? A systematic review, Computers and Education, 128, 2019, pp. 365-376, (2019); Porter S.G., Smith T.M., Bioinformatics for the masses: The need for practical data science in undergraduate biology, OMICS: A Journal of Integrative Biology, 23, 6, pp. 297-299, (2019); Qin J., D?ignazio J., The Central Role of Metadata in a Science Data Literacy Course, Journal of Library Metadata, 10, 2-3, pp. 188-204, (2010); The R Project for Statistical Computing, (2020); Rogerson C., Scott E., The fear factor: How it affects students learning to program in a tertiary environment, Journal of Information Technology Education: Research, 9, pp. 147-171, (2010); RStudio Team, (2015); Speth E.B., Momsen J.L., Moyerbrailean G.A., Ebert-May D., Long T.M., Et al., 1, 2, 3, 4: Infusing quantitative literacy into introductory biology, CBE Life Sciences Education, 9, 3, (2010); Sunda W.G., Huntaman S.A., Interrelated influence of iron, light and cell size on marine phytoplankton growth, Nature, 90, pp. 389-392, (1997); Thiry H., Issues with high school preparation and transition to college BT-Talking about leaving revisited: persistence, relocation, and loss in undergraduate STEM education, Talking about Leaving Revisited, pp. 137-147, (2019); Whitman K., Starfield A.M., Quadling H.S., Packer C., Sustainable trophy hunting of African lions, Nature, 428, pp. 175-178, (2004); Wickham H., Tidy data, Journal of Statistical Software, 59, 10, pp. 1-23, (2014); Wickham H., Averick M., Bryan J., Chang W., McGowan L., Et al., Welcome to the Tidyverse, Journal of Open Source Software, 4, 43, (2019)
Nơi xuất bản
National Association of Biology Teachers, Inc
Hình thức xuất bản
Article
Open Access
All Open Access; Bronze Open Access
Nguồn
Scopus