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Developing a Data Literacy and Visualization Service Learning Course that Fulfills Undergraduate Quantitative Literacy Requirements

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Názov: Developing a Data Literacy and Visualization Service Learning Course that Fulfills Undergraduate Quantitative Literacy Requirements
Autori: Mahbubul Majumder, Becky Brusky, Michelle Friend, Julie Dierberger, Sarah Moulton, Andrew W. Swift, Betty Love
Zdroj: Journal of Statistics and Data Science Education, Pp 1-12 (2025)
Informácie o vydavateľovi: Informa UK Limited, 2025.
Rok vydania: 2025
Predmety: quantitative literacy, service learning, course development, data literacy, LC8-6691, data visualization, Probabilities. Mathematical statistics, Special aspects of education, general education, QA273-280
Popis: As an alternative to college algebra, researchers developed an introductory Data Literacy and Visualization course that fulfills the quantitative literacy requirement for undergraduate students. In this service learning course, students work with community partners to analyze data with an emphasis on proper visualization, culminating in a final report and presentation that answers the partner’s questions. This paper describes the design and curriculum of the course, including how students engage with community partners, and summarizes student experiences and outcomes. Results from the pre- and post-class survey suggest that participating students increase their confidence in quantitative literacy. Students also show more interest in STEM fields after taking the class.
Druh dokumentu: Article
Jazyk: English
ISSN: 2693-9169
DOI: 10.1080/26939169.2025.2526622
Prístupová URL adresa: https://doaj.org/article/50918ef1c08a447cb51d7e0d0eaaff24
Rights: CC BY NC
Prístupové číslo: edsair.doi.dedup.....adc96b955f46e529308542bb16e5c02a
Databáza: OpenAIRE
Popis
Abstrakt:As an alternative to college algebra, researchers developed an introductory Data Literacy and Visualization course that fulfills the quantitative literacy requirement for undergraduate students. In this service learning course, students work with community partners to analyze data with an emphasis on proper visualization, culminating in a final report and presentation that answers the partner’s questions. This paper describes the design and curriculum of the course, including how students engage with community partners, and summarizes student experiences and outcomes. Results from the pre- and post-class survey suggest that participating students increase their confidence in quantitative literacy. Students also show more interest in STEM fields after taking the class.
ISSN:26939169
DOI:10.1080/26939169.2025.2526622