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Johnson-Glauch, Nicole; Choi, Dong San; Herman, Geoffrey – Journal of Engineering Education, 2020
Background: Engineering students commonly learn domain knowledge by engaging with visual representations of it. However, at times they have trouble accessing information from these representations due to the way information is encoded in features of the representation. Purpose: To describe how students engage with representation features, we…
Descriptors: Engineering Education, College Students, Problem Solving, Knowledge Level
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Halverson, Kristy L.; Pires, Chris J.; Abell, Sandra K. – Science Education, 2011
Student understanding of biological representations has not been well studied. Yet, we know that to be efficient problem solvers in evolutionary biology and systematics, college students must develop expertise in thinking with a particular type of representation, phylogenetic trees. The purpose of this study was to understand how undergraduates…
Descriptors: Evolution, Classification, Biodiversity, Knowledge Representation
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Noh, Taehee; Scharmann, Lawrence C. – Journal of Research in Science Teaching, 1997
Describes a study that explores the instructional influence of presenting pictures at the molecular level when introducing chemistry concepts and solving chemistry problems. Explores the effect of the pictures on students' conceptions and problem-solving abilities. Contains 59 references. (DDR)
Descriptors: Algorithms, Analysis of Covariance, Chemistry, Cognitive Structures