Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/15337
Title: | Geogebra in Teaching Introductory Statistics | Contributor(s): | Prodromou, Theodosia (author)![]() |
Publication Date: | 2014 | Handle Link: | https://hdl.handle.net/1959.11/15337 | 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: | Journal of the International Society for Teacher Education, 18(1), p. 53-66 | Publisher: | International Society for Teacher Education (ISfTE) | Place of Publication: | United States of America | ISSN: | 1029-5968 | Fields of Research (FoR) 2008: | 130103 Higher Education 130309 Learning Sciences 010499 Statistics not elsewhere classified |
Fields of Research (FoR) 2020: | 390303 Higher education 390408 Learning analytics 490599 Statistics not elsewhere classified |
Socio-Economic Objective (SEO) 2008: | 930201 Pedagogy 930299 Teaching and Instruction not elsewhere classified |
Socio-Economic Objective (SEO) 2020: | 160302 Pedagogy | Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
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Appears in Collections: | Journal Article School of Education |
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