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Title: Making Sense of Stochastic Variation and Causality in a Virtual Environment
Contributor(s): Prodromou, Theodosia  (author)orcid ; Pratt, Dave (author)
Publication Date: 2013
DOI: 10.1007/s10758-013-9210-4
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Abstract: This paper presents a case study of students (age 14-15) as they attempt to make sense of distribution, adopting a range of causal meanings for the variation observed in the animated computer display and in the graphs generated by a 'BasketBall' simulation. The student activity is analysed through dimensions of complex causality. The results indicate support for our conjecture that the computer simulation can offer new ways for harnessing causality to facilitate students' meaning making for variation in distributions of data. In order to bridge the deterministic and the stochastic, the students transfer agency to active representations of distributional parameters, such as average and spread. This study finds that, whereas the stochastic is often seen as a distinct domain of knowledge, some students are able to exploit deterministic meanings to account for variation in terms of probabilistic causality.
Publication Type: Journal Article
Source of Publication: Technology, Knowledge and Learning, 18(3), p. 121-147
Publisher: Springer Netherlands
Place of Publication: The Netherlands
ISSN: 2211-1662
Field of Research (FOR): 130106 Secondary Education
130208 Mathematics and Numeracy Curriculum and Pedagogy
130299 Curriculum and Pedagogy not elsewhere classified
Socio-Economic Outcome Codes: 930203 Teaching and Instruction Technologies
930102 Learner and Learning Processes
930103 Learner Development
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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