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ERIC Number: EJ1167558
Record Type: Journal
Publication Date: 2018-Feb
Pages: 21
Abstractor: As Provided
ISSN: ISSN-0013-1954
The Role of Perceptual Similarity, Context, and Situation When Selecting Attributes: Considerations Made by 5-6-Year-Olds in Data Modeling Environments
Leavy, Aisling; Hourigan, Mairead
Educational Studies in Mathematics, v97 n2 p163-183 Feb 2018
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.
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A