Promoting Modeling and Covariational Reasoning among Secondary School Students in the Context of Big Data

Autor/inn/en	Gil, Einat; Gibbs, Alison L.
Titel	Promoting Modeling and Covariational Reasoning among Secondary School Students in the Context of Big Data
Quelle	In: Statistics Education Research Journal, 16 (2017) 2, S.163-190 (28 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1570-1824
Schlagwörter	Foreign Countries; Secondary School Students; Grade 12; Statistics; Abstract Reasoning; Mathematical Models; Data Analysis; Data Collection; Mathematical Concepts; Multivariate Analysis; Computer Uses in Education; Computer Software; Computer Simulation; Cooperative Learning; Inquiry; Visualization; Knowledge Representation; Nonverbal Communication; Canada + Suchen Sie Ihr Suchwort? Ausland; Sekundarschüler; School year 12; 12. Schuljahr; Schuljahr 12; Statistik; Abstraktes Denken; Denken; Mathematical model; Mathematisches Modell; Auswertung; Data capture; Datensammlung; Multivariate Analyse; Computernutzung; Computergrafik; Computersimulation; Kooperatives Lernen; Visualisation; Visualisierung; Wissensrepräsentation; Non-verbal communication; Nonverbale Kommunikation; Kanada
Abstract	In this study, we follow students' modeling and covariational reasoning in the context of learning about big data. A three-week unit was designed to allow 12th grade students in a mathematics course to explore big and mid-size data using concepts such as trend and scatter to describe the relationships between variables in multivariate settings. Students' emergent ideas were followed along a varied learning trajectory that included computer-supported collaborative and inquiry-based approaches, using visualization tools and statistical software to explore data and fit a suitable trend, and student presentations of investigations. Findings show progress in some components of students' reasoning and modeling of covariation, and indicate which features of the unit design might contribute to it. (As Provided).
Anmerkungen	International Association for Statistics 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: http://www.stat.auckland.ac.nz/~iase/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01