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The role of linguistic features when reading and solving mathematics tasks in different languages
Umeå Univ, Umeå.
Umeå Univ, Umeå.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Mathematics and Science Education. Umeå Univ, Umeå.
2018 (English)In: Journal of Mathematical Behavior, ISSN 0732-3123, E-ISSN 1873-8028, Vol. 51, p. 41-55Article in journal (Refereed) Published
Abstract [en]

The purpose of this study is to deepen the understanding of the relation between the language used in mathematics tasks and the difficulty in reading and solving the tasks. We examine issues of language both through linguistic features of tasks (word length, sentence length, task length, and information density) and through different natural languages used to formulate the tasks (English, German, and Swedish). Analyses of 83 PISA mathematics tasks reveal that tasks in German, when compared with English and Swedish, show stronger connections between the examined linguistic features of tasks and difficulty in reading and solving the tasks. We discuss if and how this result can be explained by general differences between the three languages.

Place, publisher, year, edition, pages
2018. Vol. 51, p. 41-55
Keywords [en]
PISA, Word length, Sentence length, Task length, Information density, English, German, Swedish
National Category
Mathematics
Identifiers
URN: urn:nbn:se:miun:diva-34521DOI: 10.1016/j.jmathb.2018.06.009ISI: 000442439500004Scopus ID: 2-s2.0-85049754949OAI: oai:DiVA.org:miun-34521DiVA, id: diva2:1251239
Available from: 2018-09-26 Created: 2018-09-26 Last updated: 2019-03-27Bibliographically approved

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Österholm, Magnus

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  • apa
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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