Elementary Preservice Teachers' Reasoning about Modeling a "Family Factory" with TinkerPlots--A Pilot Study

Autor/inn/en	Biehler, Rolf; Frischemeier, Daniel; Podworny, Susanne
Titel	Elementary Preservice Teachers' Reasoning about Modeling a "Family Factory" with TinkerPlots--A Pilot Study
Quelle	In: Statistics Education Research Journal, 16 (2017) 2, S.244-286 (43 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1570-1824
Schlagwörter	Elementary School Teachers; Preservice Teachers; Teaching Methods; Computer Software; Educational Technology; Technology Uses in Education; Statistics; Models; Data Analysis; Foreign Countries; Mathematics Teachers; Mathematics Instruction; Problem Solving; Cooperative Learning; Graphs; Simulation; Interviews; Intervention; Qualitative Research; Content Analysis; Germany + Suchen Sie Ihr Suchwort? Elementary school; Teacher; Teachers; Grundschule; Volksschule; Lehrer; Lehrerin; Lehrende; Teaching method; Lehrmethode; Unterrichtsmethode; Unterrichtsmedien; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Statistik; Analogiemodell; Auswertung; Ausland; Mathematics; Mathematik; Mathematics lessons; Mathematikunterricht; Problemlösen; Kooperatives Lernen; Grafische Darstellung; Simulation program; Simulationsprogramm; Interviewing; Interviewtechnik; Qualitative Forschung; Inhaltsanalyse; Deutschland
Abstract	Connecting data and chance is fundamental in statistics curricula. The use of software like TinkerPlots can bridge both worlds because the TinkerPlots Sampler supports learners in expressive modeling. We conducted a study with elementary preservice teachers with a basic university education in statistics. They were asked to set up and evaluate their own models with TinkerPlots by using a real and open dataset they were given. In this article we present students' processes of setting up and evaluating their models and focus on their reasoning during this process. (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