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Time series analysi...
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Petersson, JöranStockholm University,Foundational Number Sense
(author)
Time series analysis: Moving averages as an approach to analysing textbooks
- Article/chapterEnglish2020
Publisher, publication year, extent ...
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Freudenthal Group & Freudenthal Institute,2020
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electronicrdacarrier
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LIBRIS-ID:oai:DiVA.org:mau-13670
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https://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-13670URI
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:kon swepub-publicationtype
Notes
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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.
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Sayers, JudyLeeds University, England,Foundational Number Sense
(author)
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Andrews, PaulStockholm University,Foundational Number Sense
(author)
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Stockholm UniversityFoundational Number Sense
(creator_code:org_t)
Related titles
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In:Proceedings of CERME11: Freudenthal Group & Freudenthal Institute9789073346758
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