Data Literacy and Visualization: Improving Undergraduate STEM Education Through Service Learning at Two Institutions
Year: 2024
Type: conference-paper
Abstract: In Fall 2020, the University of Nebraska at Omaha (UNO) successfully introduced a general education quantitative literacy course fusing workforce-critical data science skills with service learning. Seeking to build on UNO’s existing success, the University of Washington Tacoma (UWT) created their own version of the course for Spring 2024, with researchers collaborating to revise, implement, and assess it in both environments. At UNO, the proposed model contributed to increased data literacy among participants from a broad variety of majors by helping them develop fundamental mathematical, quantitative, and data literacy competencies in ways that are accessible and engaging, while increasing the capacity of local non-profit organizations to use data to answer meaningful questions to further their missions. Similar outcomes for UWT and its community were predicted, where we expected to find an increase in positive perceptions of mathematics and data science, particularly for non-STEM affiliated students who typically have lower interest and self-efficacy in mathematics and are often from groups underrepresented in STEM. Analysis of data collected at both institutions are presented.
Authors: Kmail, Zaher, Friend, Michelle, Love, Betty, Swift, Andrew, Brusky, Becky, Dierberger, Julie
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W6912040289
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