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Autor/inGroth, Randall E.
TitelDeveloping Statistical Knowledge for Teaching during Design-Based Research
QuelleIn: Statistics Education Research Journal, 16 (2017) 2, S.376-396 (21 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1570-1824
SchlagwörterStatistics; Educational Research; Mathematics Instruction; Models; Pedagogical Content Knowledge; Preservice Teacher Education; Undergraduate Students; Preservice Teachers; Teacher Researchers; Student Research; Interviews; Graphs
AbstractStatistical knowledge for teaching is not precisely equivalent to statistics subject matter knowledge. Teachers must know how to make statistics understandable to others as well as understand the subject matter themselves. This dual demand on teachers calls for the development of viable teacher education models. This paper offers one such model, which relies upon engaging teachers in design-based research. Teachers collaborate with a researcher to design, implement, and analyze instruction to pursue desired statistical learning outcomes for students. The researcher allows teachers enough autonomy to make and learn from mistakes during the process. Unpacking and addressing the mistakes has value as a means of teacher learning. The model and a specific instance of its implementation are described along with reflections on how productive mistakes during design-based research provide opportunities for fostering the development of statistical knowledge for teaching. (As Provided).
AnmerkungenInternational 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 vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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