Statistical Modelling and Repeatable Structures: Purpose, Process and Prediction

Autor/inn/en	Makar, Katie; Allmond, Sue
Titel	Statistical Modelling and Repeatable Structures: Purpose, Process and Prediction
Quelle	In: ZDM: The International Journal on Mathematics Education, 50 (2018) 7, S.1139-1150 (12 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1863-9690
DOI	10.1007/s11858-018-0956-y
Schlagwörter	Statistics; Mathematical Models; Prediction; Statistical Distributions; Statistical Inference; Repetition; Children + Suchen Sie Ihr Suchwort? Statistik; Mathematical model; Mathematisches Modell; Vorhersage; Wahrscheinlichkeitsverteilung; Inferential statistics; Schließende Statistik; Wiederholung; Child; Kind; Kinder
Abstract	Children have limited exposure to statistical concepts and processes, yet researchers have highlighted multiple benefits of experiences in which they design and/or engage informally with statistical modelling. A study was conducted with a classroom in which students developed and utilised data-based models to respond to the inquiry question, "Which origami animal jumps the furthest?" The students used hat plots and box plots in Tinkerplots to make sense of variability in comparing distributions of their data and to support them to write justified conclusions of their findings. The study relied on classroom video and student artefacts to analyse aspects of the students' modelling experiences which exposed them to powerful statistical ideas, such as key repeatable structures and dispositions in statistics. Three principles--purpose, process and prediction--are highlighted as ways in which the problem context, statistical structures and inquiry dispositions and cycle extended students' opportunities to reason in sophisticated ways appropriate for their age. The research question under investigation was, "How can an emphasis on purpose, process and prediction be implemented to support children's statistical modelling?" The principles illustrated in the study may provide a simple framework for teachers and researchers to develop statistical modelling practices and norms at the school level. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01