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An instructional design perspective on data-modelling for learning statistics and modelling
Linköping University, Department of Mathematics, Mathematics and Applied Mathematics. Linköping University, Faculty of Science & Engineering.
Örebro University.
Linnaeus University, Sweden.
2015 (English)In: Development of mathematics teaching: Design, Scale, Effects : Proceedings of MADIF 9, The Ninth mathematics Education Research Seminar, Umeå, 2015, 37-46 p.Conference paper, Published paper (Refereed)
Abstract [en]

This theoretical and methodological paper discusses the emerging theoretical framing and methodological considerations in our efforts to develop a theoretical approach supporting instructional design for teaching and learning statistics and mathematical modelling. From an instructional design point of view aligned with the goals in governing curricula documents and real classroom constraints, we argue for the integration of the models and modelling perspective on teaching and learning mathematics with a data-modelling approach to facilitate students’ learning statistics and mathematical modelling. An application of the framework is given and future research discussed.

Place, publisher, year, edition, pages
Umeå, 2015. 37-46 p.
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Didactics
Identifiers
URN: urn:nbn:se:liu:diva-126927OAI: oai:DiVA.org:liu-126927DiVA: diva2:917833
Conference
MADIF9
Available from: 2016-04-07 Created: 2016-04-07 Last updated: 2016-04-25

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Bergman Ärlebäck, Jonas
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Total: 215 hits
CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
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Output format
  • html
  • text
  • asciidoc
  • rtf