Investigating Data Like a Data Scientist: Key Practices and Processes

Autor/inn/en	Lee, Hollylynne S.; Mojica, Gemma F.; Thrasher, Emily P.; Baumgartner, Peter
Titel	Investigating Data Like a Data Scientist: Key Practices and Processes
Quelle	In: Statistics Education Research Journal, 21 (2022) 2, Artikel 3 (23 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1570-1824
Schlagwörter	Statistics Education; Educational Research; Elementary Secondary Education; Investigations; Ethnography + Suchen Sie Ihr Suchwort? Bildungsforschung; Pädagogische Forschung; Untersuchung; Ethnografie
Abstract	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. (As Provided).
Anmerkungen	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
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01