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ERIC Number: EJ1354547
Record Type: Journal
Publication Date: 2022
Pages: 23
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1570-1824
EISSN: EISSN-1570-1824
Investigating Data Like a Data Scientist: Key Practices and Processes
Lee, Hollylynne S.; Mojica, Gemma F.; Thrasher, Emily P.; Baumgartner, Peter
Statistics Education Research Journal, v21 n2 Article 3 2022
With a call for schools to infuse data across the curriculum, many are creating curricula and examining students' thinking in data-intensive problems. As the discipline of statistics education broadens to data science education, there is a need to examine how practices in data science can inform work in K-12. To better understand how to frame data science practices in K-12, we synthesize literature about statistics investigation processes, data science as a field, and practices of data scientists. Further, we provide results from a phenomenological study of the work of data scientists. Together, these inform a new framework to support data investigation processes. We explicate the practices and dispositions needed and offer a glimpse of how the framework can be used to move data science education forward.
International Association for Statistical Education and the International Statistical Institute. PO Box 24070, 2490 AB The Hague, The Netherlands. Tel: +31-70-3375737; Fax: +31-70-3860025; e-mail: isi@cbs.nl; Web site: https://iase-web.org/ojs/SERJ
Publication Type: Journal Articles; Reports - Research; Tests/Questionnaires
Education Level: Elementary Secondary Education
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF), Division of Research on Learning in Formal and Informal Settings (DRL)
Authoring Institution: N/A
Grant or Contract Numbers: DRL1908760