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.
Descriptors: Statistics Education, Educational Research, Elementary Secondary Education, Investigations, Ethnography
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