Literaturnachweis - Detailanzeige
Autor/inn/en | Braham, Hana Manor; Ben-Zvi, Dani |
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Titel | Students' Emergent Articulations of Statistical Models and Modeling in Making Informal Statistical Inferences |
Quelle | In: Statistics Education Research Journal, 16 (2017) 2, S.116-143 (28 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1570-1824 |
Schlagwörter | Foreign Countries; Elementary School Students; Statistical Inference; Mathematical Models; Sample Size; Population Distribution; Abstract Reasoning; Learning Processes; Learning Activities; Hypothesis Testing; Probability; Prediction; Sampling; Grade 6; Israel Ausland; Inferential statistics; Schließende Statistik; Mathematical model; Mathematisches Modell; Demographical distribution; Bevölkerungsverteilung; Abstraktes Denken; Denken; Learning process; Lernprozess; Lernaktivität; Hypothesenprüfung; Hypothesentest; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Vorhersage; School year 06; 6. Schuljahr; Schuljahr 06 |
Abstract | A fundamental aspect of statistical inference is representation of real-world data using statistical models. This article analyzes students' articulations of statistical models and modeling during their first steps in making informal statistical inferences. An integrated modeling approach (IMA) was designed and implemented to help students understand the relationship between sample and population, as well as reasoning with models and modeling. We explore the articulations of a pair of primary school students, who had previously participated in the Connections Project exploratory data analysis (EDA) activities, and suggest an emergent conceptual framework for reasoning with statistical models and modeling. We shed light on ideas of statistical models and modeling that can emerge among primary students and how they articulate those ideas. Implications for teaching and research are discussed. (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 |