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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
Twissell, Adrian – Educational Technology & Society, 2018
Abstract electronics concepts are difficult to develop because the phenomena of interest cannot be readily observed. Visualisation skills support learning about electronics and can be applied at different levels of representation and understanding (observable, symbolic and abstract). Providing learners with opportunities to make transitions…
Descriptors: Electronics, Case Studies, Concept Formation, Scientific Concepts
Sunyono; Yuanita, L.; Ibrahim, M. – Science Education International, 2015
The aim of this research is identify the effectiveness of a multiple representation-based learning model, which builds a mental model within the concept of atomic structure. The research sample of 108 students in 3 classes is obtained randomly from among students of Mathematics and Science Education Studies using a stratified random sampling…
Descriptors: Science Education, Instructional Effectiveness, Models, Molecular Structure
Madison, Sandra Kay – 1995
Parameter passing is the mechanism by which various program modules share information in a complex program; this paper was a study of novice programmers' understanding of the parameter construct. The bulk of the data was collected from interviews with eight college students enrolled in a state university introductory computer programming course.…
Descriptors: College Students, Computer Literacy, Computer Science Education, Computer System Design