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Seah, Rebecca; Horne, Marj – Mathematics Education Research Group of Australasia, 2022
Building from the evidence-based learning progression in geometric reasoning from the RMFII project, this paper presents data from students' solutions to three problems in geometry and measurement situations to identify key components needed to nurture reasoning. To show emerging analytical reasoning students must coordinate multiple pieces of…
Descriptors: Cognitive Ability, Mathematics Skills, Geometry, Thinking Skills
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Bossé, Michael J.; Bayaga, Anass; Lynch-Davis, Kathleen; DeMarte, Ashley M. – International Journal for Mathematics Teaching and Learning, 2021
In the context of an analytical geometry, this study considers the mathematical understanding and activity of seven students analyzed simultaneously through two knowledge frameworks: (1) the Van Hiele levels (Van Hiele, 1986, 1999) and register and domain knowledge (Hibert, 1988); and (2) three action frameworks: the SOLO taxonomy (Biggs, 1999;…
Descriptors: Geometry, Mathematics Instruction, Teaching Methods, Taxonomy
Korkmaz, Halil Ibrahim – Online Submission, 2017
The purpose of this study was to investigate kindergartners' geometric (shape, area and symmetry) and spatial (spatial orientation and spatial visualization) thinking skills, in the context of gender and age. Whether kindergartners' geometric and spatial thinking skills vary by their age or gender was questioned. A total of 73 kindergartners (40…
Descriptors: Kindergarten, Spatial Ability, Geometry, Thinking Skills
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis