Authentic Messiness: A Community-Based Learning Model in an Introduction to Data, and Statistics Course
Le P.
2020
PRIMUS
1
10.1080/10511970.2018.1525595
Local community organizations with data and statistical needs provide beneficial authenticity and context in the classroom. Students can provide creative, broad perspectives to problems and issues relevant to those organizations. This paper describes characteristics of mutually beneficial relationships between classes and community partners. Included is an account of such a partnership with a small liberal arts institution and a non-profit health access resource center in a low income neighborhood in a mid-sized city. © 2019, © 2019 Taylor & Francis Group, LLC.
community based learning; data visualization; health care; PR Statistics; quantitative literacy; service learning; social justice
Carver R., Everson M., Gabrosek J., Horton N., Lock R., Mocko M., Rossman A., Rowell G.H., Velleman P., Witmer J., Wood B., Guidelines for Assessment and Instruction in Statistics Education (GAISE) Reports, (2016); Chappell V., Good intentions aren’t enough: Insights from activity theory for linking service and learning, Reflections, 4, 2, pp. 34-53, (2005); Towson, MD; Graves L.N., Creating a community context for cooperative learning, Handbook of Cooperative Learning Methods; Turner A.; Zack M., Crow G., Service-learning projects developed from collegial research questions, PRIMUS., 23, 6, pp. 550-562, (2013)
Taylor and Francis Inc.
Article
Scopus