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dc.contributor.creatorLeavy, Aisling
dc.date.accessioned2019-02-18T14:47:41Z
dc.date.available2019-02-18T14:47:41Z
dc.date.issued2007
dc.identifier.citationLeavy, A. (2009) 'Coordinating student learning and teacher activity – The case of Savannah: Motivating an understanding of representativeness through examination of distributions of data.' Second National Conference on Research in Mathematics Education, 14th and 15th September, 2007.en_US
dc.identifier.otherhttps://www.dcu.ie/sites/default/files/institute_of_education/pdfs/mei2-proceedings.pdf
dc.identifier.urihttp://hdl.handle.net/10395/2645
dc.descriptionCoordinating student learning and teacher activity – The case of Savannah: Motivating an understanding of representativeness through examination of distributions of data.en_US
dc.description.abstractThis research study investigated the measures chosen by five 4th to 8th grade students when selecting statistical measures to describe distributions of data. Over the course of eight weeks of instruction, individual teaching experiments were conducted to investigate the development of understanding of distribution. The results indicate that consideration of representativeness was a major factor that motivated modification of approaches to constructing indices of distributions. This paper outlines the case of a 4th grade student who participated in the study and narrates her journey as she grappled with increasingly complex statistical ideas relating to representativeness.en_US
dc.language.isoengen_US
dc.publisherSt. Patrick's College, Dublinen_US
dc.rights.urihttps://www.dcu.ie/sites/default/files/institute_of_education/pdfs/mei2-proceedings.pdfen_US
dc.subjectStudenten_US
dc.subjectLearningen_US
dc.subjectTeacheren_US
dc.subjectActivityen_US
dc.subjectMotivatingen_US
dc.subjectUnderstandingen_US
dc.subjectRepresentativenessen_US
dc.subjectExaminationen_US
dc.subjectDistributionsen_US
dc.subjectDataen_US
dc.titleCoordinating student learning and teacher activity – The case of Savannah: Motivating an understanding of representativeness through examination of distributions of dataen_US
dc.typeConference reporten_US
dc.type.supercollectionall_mic_researchen_US
dc.description.versionYesen_US


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