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Lin, Jing; Zhang, Letong; Neumann, Knut; Cheng, Ping-Han; Wei, Wenting; Chang, Chun-Yen – Asia-Pacific Science Education, 2022
Scientific modeling (SM) is a core practice of science and an important component of scientific literacy. Supporting students in developing the competence to construct, use, evaluate, and revise models is hence of particular relevance. While research has shown that spatial visualization (SV), a core component of spatial ability, is correlated with…
Descriptors: Spatial Ability, Visualization, Scientific Concepts, Models
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Lin, Jing-Wen – EURASIA Journal of Mathematics, Science & Technology Education, 2017
Cross-grade studies are valuable for the development of sequential curriculum. However such studies are time and resource intensive and fail to provide a clear representation to integrate different levels of representational complexity. Lin (Lin, 2006; Lin & Chiu, 2006; Lin, Chiu, & Hsu, 2006) proposed a cladistics approach in conceptual…
Descriptors: Cognitive Structures, Models, Visualization, Foreign Countries
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Šafhalter, Andrej; Vukman, Karin Bakracevic; Glodež, Srecko – Journal of Educational Computing Research, 2016
The aim of this research was to establish whether gender and age have an impact on spatial reasoning and its development through the use of 3D modeling. The study was conducted on a sample of 196 children from sixth to ninth grade, of whom 95 represented the experimental group and 101 the control group. The experimental group received 3D modeling…
Descriptors: Spatial Ability, Visual Perception, Models, Visualization
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Tucker-Drob, Elliot M. – Developmental Psychology, 2011
Normative adult age-related decrements are well documented for many diverse forms of effortful cognitive processing. However, it is currently unclear whether each of these decrements reflects a distinct and independent developmental phenomenon, or, in part, a more global phenomenon. A number of studies have recently been published that show…
Descriptors: Cognitive Processes, Age Differences, Adults, Change
Sternberg, Robert J. – 1979
About 25 children in each of grades 3, 5, 7, 9, and 11 were tested in their ability to solve linear syllogisms, such as: John is taller than Mary. Mary is taller than Pete. Who is tallest--John, Mary, or Pete? Response latencies and error rates decreased across grade levels and sessions. Component latencies also generally decreased with increasing…
Descriptors: Abstract Reasoning, Age Differences, Algorithms, Cognitive Development