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Challenges and opportunities in experimentation-based instruction in probability
Örebro University, Sweden.
Örebro University, Sweden.ORCID iD: 0000-0001-5765-3553
London University, UK.
2018 (English)In: Teaching and Learning Probability: Advances in Probability Education Research / [ed] Batanero, C. & Chernoff, E.J., Springer, 2018Chapter in book (Other academic)
Abstract [en]

This study reports on how instruction that is based on engaging students in practical experiments can create challenges and opportunities in the teaching of the relationship between a classical a priori and a frequentist model in estimating the probability of random outcomes. Knowledge is assumed to lie in the inferentialist relationships within the game of giving and asking for reasons (GoGAR). We report on dilemmas (challenges vs. opportunities) faced by the teachers and the researchers who co-designed the tasks: (i) whether it is effective to avoid the elicitation of deterministic reasons for random behaviour or to invite students to reflect on the lack of power of such reasons; (ii) whether the GoGAR is best served by accepting any responses from students or by challenging responses in order to clarify what is normative; (iii) whether the sample space that generates random outcomes should be revealed or not.

Place, publisher, year, edition, pages
Springer, 2018.
National Category
Didactics Mathematics
Research subject
Mathematics, Mathematical Education
Identifiers
URN: urn:nbn:se:lnu:diva-123489DOI: 10.1007/978-3-319-72871-1_4ISBN: 9783319728704 (print)ISBN: 9783319728711 (electronic)OAI: oai:DiVA.org:lnu-123489DiVA, id: diva2:1786315
Available from: 2023-08-08 Created: 2023-08-08 Last updated: 2023-09-06Bibliographically approved

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Nilsson, PerEckert, Andreas

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf