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dc.contributor.creatorLeavy, Aisling
dc.date.accessioned2019-04-09T10:22:08Z
dc.date.available2019-04-09T10:22:08Z
dc.date.issued2009
dc.identifier.citationLeavy, A.M. (2009). 'Next steps in statistics education: identifying teacher professional development needs for teaching the data analysis component of primary level mathematics'. Proceedings of International Association of Statistics Education satellite conference to the 57th session of the International Statistical Institute. Durban, South Africa.en_US
dc.identifier.otherhttps://iase-web.org/
dc.identifier.urihttp://hdl.handle.net/10395/2818
dc.descriptionNext steps in statistics education: identifying teacher professional development needs for teaching the data analysis component of primary level mathematics.en_US
dc.description.abstractThis study reveals the pedagogical decision making undertaken when designing instruction for primary level statistics. We report on the activity of five groups of preservice teachers when engaging in Lesson Study and identify the content and pedagogical content knowledge needed for teaching statistics. The research highlights the power of lesson study to reveal aspects of statistical reasoning that are drawn heavily upon in the teaching of statistics and identifies fundamental weaknesses in statistical understanding that may not be uncovered through standard methods of assessment. The paper concludes with suggestions for how we can better prepare teachers for implementing statistics curricula at the primary level.en_US
dc.language.isoengen_US
dc.publisherIASE [International Association of Statistics Education]en_US
dc.rights.urihttps://iase-web.org/en_US
dc.subjectStatistics educationen_US
dc.subjectTeacheren_US
dc.subjectProfessional developmenten_US
dc.subjectData analysisen_US
dc.subjectPrimary levelen_US
dc.subjectMathematicsen_US
dc.titleNext steps in statistics education: identifying teacher professional development needs for teaching the data analysis component of primary level mathematicsen_US
dc.typeConference reporten_US
dc.type.supercollectionall_mic_researchen_US
dc.description.versionNoen_US


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