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Time series analysis: Moving averages as an approach to analysing textbooks

Petersson, Jöran (author)
Stockholm University,Foundational Number Sense
Sayers, Judy (author)
Leeds University, England,Foundational Number Sense
Andrews, Paul (author)
Stockholm University,Foundational Number Sense
 (creator_code:org_t)
Freudenthal Group & Freudenthal Institute, 2020
2020
English.
In: Proceedings of CERME11. - : Freudenthal Group & Freudenthal Institute. - 9789073346758
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • In this study we introduce time series analysis, specifically moving averages, as a novel strategy for analysing mathematics textbooks. Such analyses show how different topics or mathematical processes are emphasised over different time periods, whether at the level of the lesson, the week, the month or year. In this paper, by way of example, we show how one of the eight categories of foundational number sense (Andrews & Sayers, 2015), namely simple addition and subtraction, is distributed and sequenced across three English, year one, textbooks. The analyses are compared empirically with four other methods found in the literature to show how time series analysis using moving averages helps address the shortcomings of these different approaches.

Subject headings

SAMHÄLLSVETENSKAP  -- Utbildningsvetenskap -- Didaktik (hsv//swe)
SOCIAL SCIENCES  -- Educational Sciences -- Didactics (hsv//eng)

Keyword

comparative textbook analysis
foundational number sense
moving average
time series

Publication and Content Type

ref (subject category)
kon (subject category)

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Petersson, Jöran
Sayers, Judy
Andrews, Paul
About the subject
SOCIAL SCIENCES
SOCIAL SCIENCES
and Educational Scie ...
and Didactics
Articles in the publication
Proceedings of C ...
By the university
Malmö University

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