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Vieira, Camilo; Magana, Alejandra J.; Roy, Anindya; Falk, Michael L. – Cognition and Instruction, 2019
Creating explanations is an important process for students, not only to make connections between novel information and background knowledge, but also to be able to communicate their understanding of any given topic. This article explores students' explanations in the context of computational science and engineering, an important interdisciplinary…
Descriptors: Student Attitudes, Comprehension, Computation, Programming
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Alonzo, Alicia C.; Elby, Andrew – Cognition and Instruction, 2019
As scientific models of student thinking, learning progressions (LPs) have been evaluated in terms of one important, but limited, criterion: fit to empirical data. We argue that LPs are not empirically adequate, largely because they rely on problematic assumptions of theory-like coherence in students' thinking. Through an empirical investigation…
Descriptors: Science Teachers, Physics, Models, Learning Processes
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Radoff, Jennifer; Jaber, Lama Ziad; Hammer, David – Cognition and Instruction, 2019
We study the case of Marya, a freshman engineering major who showed and spoke of a drastic shift in her feelings and approach to learning physics during an introductory course. For the first several weeks, she was anxiously manipulating equations without considering physical meaning, and she was terribly worried about being correct. By the end of…
Descriptors: College Freshmen, Engineering Education, Physics, Science Instruction