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Ngu, Bing Hiong; Phan, Huy P. – International Journal of Mathematical Education in Science and Technology, 2022
Capitalizing on cognitive load theory and learning by analogy, we propose two instructional methods to learn a complex linear equation (e.g. two-step equation) by building on prior knowledge of a simpler linear equation (e.g. one-step equation). We will examine the proposal theoretically in this paper. In line with the design principles of…
Descriptors: Short Term Memory, Schemata (Cognition), Prior Learning, Cognitive Ability
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Dayal, Vikram – International Journal of Mathematical Education in Science and Technology, 2023
Epidemiological models have enhanced relevance because of the COVID-19 pandemic. In this note, we emphasize visual tools that can be part of a learning module geared to teaching the SIR epidemiological model, suitable for advanced undergraduates or beginning graduate students in disciplines where the level of prior mathematical knowledge of…
Descriptors: Biology, Visual Aids, Epidemiology, Science Instruction
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Junius, Premalatha – International Journal of Mathematical Education in Science and Technology, 2008
The focus of the article is on the complex cognitive process involved in learning the concept of "straightness" in Non-Euclidean geometry. Learning new material is viewed through a conflict resolution framework, as a student questions familiar assumptions understood in Euclidean geometry. A case study reveals how mathematization of the straight…
Descriptors: Cognitive Processes, Geometry, Mathematics Instruction, Case Studies
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Miller-Reilly, Barbara – International Journal of Mathematical Education in Science and Technology, 2007
During the past decade three different bridging mathematics courses have been offered at the University of Auckland. A case study approach was used to investigate the effectiveness of these courses: two larger courses and one individual study programme. A different teaching approach, by committed experienced teachers, was used in each course. The…
Descriptors: Mathematics Instruction, Calculus, Data Analysis, Case Studies