Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/16074
Title: | GeoGebra in Teaching and Learning Introductory Statistics | Contributor(s): | Prodromou, Theodosia (author)![]() |
Publication Date: | 2014-11 | Handle Link: | https://hdl.handle.net/1959.11/16074 | Abstract: | This 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. | Publication Type: | Journal Article | Source of Publication: | The Electronic Journal of Mathematics and Technology, 8(5), p. 363-376 | Publisher: | Mathematics and Technology, LLC | Place of Publication: | United States of America | ISSN: | 1933-2823 | Fields of Research (FoR) 2008: | 139999 Education not elsewhere classified 130202 Curriculum and Pedagogy Theory and Development 109999 Technology not elsewhere classified |
Fields of Research (FoR) 2020: | 399999 Other education not elsewhere classified 390102 Curriculum and pedagogy theory and development 300199 Agricultural biotechnology not elsewhere classified |
Socio-Economic Objective (SEO) 2008: | 930399 Curriculum not elsewhere classified 930102 Learner and Learning Processes 930201 Pedagogy |
Socio-Economic Objective (SEO) 2020: | 160302 Pedagogy | Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal | Publisher/associated links: | https://php.radford.edu/~ejmt/ContentIndex.php#v8n5 | Description: | This paper was also published in The Research Journal of Mathematics and Technology, 3(2), p. 17-30. |
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Appears in Collections: | Journal Article School of Education |
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