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An instructional design perspective on data-modelling for learning statistics and modelling
Linköping University, Linköping, Sweden.
Linnaeus University, Växjö, Sweden.
Örebro University, School of Science and Technology, Örebro University, Sweden. Linnaeus University, Växjö, Sweden. (Matematikdidaktik)
2015 (English)In: Development of mathematics teaching: Design, Scale, Effects: Proceedings of MADIF 9, The Ninth mathematics Education Research Seminar, 2015, 37-46 p.Conference 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
2015. 37-46 p.
National Category
Didactics
Research subject
Mathematics
Identifiers
URN: urn:nbn:se:oru:diva-53873OAI: oai:DiVA.org:oru-53873DiVA: diva2:1055182
Conference
The Ninth mathematics Education Research Seminar (MADIF 9), Umeå, Sweden, Februar 4-5, 2014
Available from: 2016-12-12 Created: 2016-12-12 Last updated: 2016-12-20Bibliographically approved

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An instructional design perspective on data-modelling for learning statistics and modelling

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Nilsson, Per
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School of Science and Technology, Örebro University, Sweden
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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