Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/16074
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dc.contributor.authorProdromou, Theodosiaen
dc.date.accessioned2014-11-14T16:00:00Z-
dc.date.issued2014-11-
dc.identifier.citationThe Electronic Journal of Mathematics and Technology, 8(5), p. 363-376en
dc.identifier.issn1933-2823en
dc.identifier.urihttps://hdl.handle.net/1959.11/16074-
dc.descriptionThis paper was also published in <em>The Research Journal of Mathematics and Technology</em>, 3(2), p. 17-30.en
dc.description.abstractThis article discusses the special opportunities for teaching statistics that technology offers teachers who aim to provide rich learning experiences for their students. These opportunities involve automation of many activities such as quickly organising data, computing measures, and generating graphs. By automating the tasks of computing statistics or generating data, technology facilitates students' ability to visualise abstract concepts, affording an opportunity to focus on conceptual understandings and data analysis. This article also examines how GeoGebra can be integrated into the curriculum and learning process of introductory statistics to engage college students in cycles of investigation including (a) managing data (b) developing students' knowledge for understanding specific statistical concepts, (c) performing data analysis and inference, and (d) exploring probability models. Recommendations are included for ways mathematics educators can engage college learners in developing their knowledge for exploring data concepts and doing statistics with GeoGebra.en
dc.languageenen
dc.publisherMathematics and Technology, LLCen
dc.relation.ispartofThe Electronic Journal of Mathematics and Technologyen
dc.titleGeoGebra in Teaching and Learning Introductory Statisticsen
dc.typeJournal Articleen
dc.subject.keywordsTechnologyen
dc.subject.keywordsEducationen
dc.subject.keywordsCurriculum and Pedagogy Theory and Developmenten
local.contributor.firstnameTheodosiaen
local.subject.for2008139999 Education not elsewhere classifieden
local.subject.for2008130202 Curriculum and Pedagogy Theory and Developmenten
local.subject.for2008109999 Technology not elsewhere classifieden
local.subject.seo2008930399 Curriculum not elsewhere classifieden
local.subject.seo2008930102 Learner and Learning Processesen
local.subject.seo2008930201 Pedagogyen
local.profile.schoolSchool of Educationen
local.profile.emailtprodrom@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20141103-16171en
local.publisher.placeUnited States of Americaen
local.format.startpage363en
local.format.endpage376en
local.peerreviewedYesen
local.identifier.volume8en
local.identifier.issue5en
local.contributor.lastnameProdromouen
dc.identifier.staffune-id:tprodromen
local.profile.orcid0000-0002-0685-7756en
local.profile.roleauthoren
local.identifier.unepublicationidune:16311en
local.identifier.handlehttps://hdl.handle.net/1959.11/16074en
dc.identifier.academiclevelAcademicen
local.title.maintitleGeoGebra in Teaching and Learning Introductory Statisticsen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.relation.urlhttps://php.radford.edu/~ejmt/ContentIndex.php#v8n5en
local.search.authorProdromou, Theodosiaen
local.uneassociationUnknownen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2014-
local.subject.for2020399999 Other education not elsewhere classifieden
local.subject.for2020390102 Curriculum and pedagogy theory and developmenten
local.subject.for2020300199 Agricultural biotechnology not elsewhere classifieden
local.subject.seo2020160302 Pedagogyen
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School of Education
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