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Research on the reasoning, teaching and learning of probability and uncertainty

Biehler, R; Pratt, D; (2012) Research on the reasoning, teaching and learning of probability and uncertainty. ZDM - Mathematics Education , 44 (7) pp. 819-823. 10.1007/s11858-012-0468-0. Green open access

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Abstract

In this editorial, we set out the aims in the call to publish papers on informal statistical inference, randomness, modelling and risk. We discuss how the papers published in this issue have responded to those aims. In particular, we note how the nine papers contribute to some of the major debates in mathematics and statistics education, often taking contrasting positions. Such debates range across: (1) whether knowledge is fractured or takes the form of mental models; (2) heuristic or intuitive thinking versus operational thinking as for example in dual process theory; (3) the role of different epistemic resources, such as perceptions, modelling, imagery, in the development of probabilistic reasoning; (4) how design and situation impact upon probabilistic learning.

Type: Article
Title: Research on the reasoning, teaching and learning of probability and uncertainty
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s11858-012-0468-0
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Curriculum, Pedagogy and Assessment
URI: https://discovery.ucl.ac.uk/id/eprint/1500188
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