The role of perceptual similarity, context, and situation when selecting attributes: considerations made by 5-6-year-olds in data modeling environments
Classroom data modeling involves posing questions, identifying attributes of phenomena, measuring and structuring these attributes, and then composing, revising, and communicating the outcomes. Selecting attributes is a fundamental component of data modeling, and the considerations made when selecti...
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| Veröffentlicht in: | Educational studies in mathematics 2018-02, Vol.97 (2), p.163-183 |
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| container_title | Educational studies in mathematics |
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| creator | Leavy, Aisling Hourigan, Mairead |
| description | Classroom data modeling involves posing questions, identifying attributes of phenomena, measuring and structuring these attributes, and then composing, revising, and communicating the outcomes. Selecting attributes is a fundamental component of data modeling, and the considerations made when selecting attributes is the focus of this paper. A teaching experiment involving 2 teacher educators and 25 pre-service teachers (PSTs) was carried out with 24 young children (5-6-year-olds) as part of a 4-day data modeling investigation. Although perceptual features of the data influenced initial approaches to attribute selection, considerations of the problem situation influenced a shift from the perceptual and towards consideration of attributes such as taxonomy, habitat, behavior, and diet. Expertise in the data context (animal kingdom) and ability to collaborate and negotiate within groups supported children in their ability to switch attributes, attend to multiple situations presented by the problem, and modify and extend their categorizations of data. |
| doi_str_mv | 10.1007/s10649-017-9791-2 |
| format | Article |
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| ispartof | Educational studies in mathematics, 2018-02, Vol.97 (2), p.163-183 |
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| language | eng |
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| source | Jstor Complete Legacy; Education Source; SpringerLink Journals; JSTOR Mathematics & Statistics |
| subjects | Childhood attribution Children Classroom techniques Communication Data modeling Education Educational research Elementary School Mathematics Elementary School Students Environment models Mathematical Models Mathematics Mathematics Education Mathematics Instruction Preservice Teachers Taxonomy Teacher Educators Teachers Teaching Methods Young Children |
| title | The role of perceptual similarity, context, and situation when selecting attributes: considerations made by 5-6-year-olds in data modeling environments |
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