Elementary Preservice Teachers' Reasoning about Statistical Modeling in a Civic Statistics Context

Autor/inn/en	Biehler, Rolf; Frischemeier, Daniel; Podworny, Susanne
Titel	Elementary Preservice Teachers' Reasoning about Statistical Modeling in a Civic Statistics Context
Quelle	In: ZDM: The International Journal on Mathematics Education, 50 (2018) 7, S.1237-1251 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Biehler, Rolf)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1863-9690
DOI	10.1007/s11858-018-1001-x
Schlagwörter	Preservice Teachers; Elementary School Teachers; Pedagogical Content Knowledge; Civics; Technological Literacy; Statistics; Mathematics Instruction; Course Descriptions; Teacher Education Programs; Thinking Skills; Simulation; Computer Software; Teaching Methods; Student Attitudes; Models; Hospitals; Data Analysis; Foreign Countries; Mathematical Models; Germany + Suchen Sie Ihr Suchwort? Elementary school; Teacher; Teachers; Grundschule; Volksschule; Lehrer; Lehrerin; Lehrende; Pädagogische Kompetenz; Staatsbürgerkunde; Technisches Wissen; Statistik; Mathematics lessons; Mathematikunterricht; Kursstrukturplan; Denkfähigkeit; Simulation program; Simulationsprogramm; Teaching method; Lehrmethode; Unterrichtsmethode; Schülerverhalten; Analogiemodell; Krankengymnast; Krankenhaus; Auswertung; Ausland; Mathematical model; Mathematisches Modell; Deutschland
Abstract	Elements of statistical modeling can be implemented already in primary school. A prerequisite for this approach is that teachers are well-educated in this domain. Content knowledge, pedagogical content knowledge and (pedagogical) content related technological knowledge are core components of teacher education. We designed a course for elementary preservice teachers with regard to developing statistical thinking including the mentioned knowledge facets. The course includes exploring data and modeling and simulating chance experiments with TinkerPlots. We use the 'data factory metaphor' in fictive contexts and in contexts stemming from civic statistics for supporting the idea of modeling. We interviewed four participants of the course to assess and analyze their reasoning. We analyze how they model a given civic statistics contextual problem using the TinkerPlots sampler and how they evaluate their model with regard to a civic statistics context (the situation of hospitals in Germany). (As Provided).
Anmerkungen	Springer. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01