Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/13837
Title: GeoGebra in Teaching and Learning Introductory Statistics
Contributor(s): Prodromou, Theodosia  (author)orcid 
Publication Date: 2013
Handle Link: https://hdl.handle.net/1959.11/13837
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: Conference Publication
Conference Details: ATCM 2013: 18th Asian Technology Conference in Mathematics - Technology Integration into Mathematics Curriculum, Mumbai, India, 7th - 11th December, 2013
Source of Publication: Proceedings of the Eighteenth Asian Technology Conference in Mathematics (ATCM), p. 236-245
Publisher: Mathematics and Technology, LLC
Place of Publication: Radford, United States of America
ISSN: 1940-4204
1940-2279
Fields of Research (FoR) 2008: 139999 Education not elsewhere classified
010499 Statistics not elsewhere classified
019999 Mathematical Sciences not elsewhere classified
Fields of Research (FoR) 2020: 399999 Other education not elsewhere classified
490599 Statistics not elsewhere classified
451999 Other Indigenous data, methodologies and global Indigenous studies not elsewhere classified
Socio-Economic Objective (SEO) 2008: 930299 Teaching and Instruction not elsewhere classified
930203 Teaching and Instruction Technologies
930599 Education and Training Systems not elsewhere classified
Socio-Economic Objective (SEO) 2020: 160304 Teaching and instruction technologies
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Publisher/associated links: http://atcm.mathandtech.org/EP2013/pages/2013_regular.html
Appears in Collections:Conference Publication
School of Education

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