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Ilona Bass; Cristian Espinoza; Elizabeth Bonawitz; Tomer D. Ullman – Cognitive Science, 2024
When people make decisions, they act in a way that is either automatic ("rote"), or more thoughtful ("reflective"). But do people notice when "others" are behaving in a rote way, and do they care? We examine the detection of rote behavior and its consequences in U.S. adults, focusing specifically on pedagogy and…
Descriptors: Teaching Methods, Learning Processes, Rote Learning, Critical Thinking
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Anahid S. Modrek; Tania Lombrozo – Cognitive Science, 2024
How does the act of explaining influence learning? Prior work has studied effects of explaining through a predominantly proximal lens, measuring short-term outcomes or manipulations within lab settings. Here, we ask whether the benefits of explaining extend to academic performance over time. Specifically, does the quality and frequency of student…
Descriptors: Academic Achievement, Learning Processes, Cognitive Processes, Prediction
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Poletiek, Fenna H.; Conway, Christopher M.; Ellefson, Michelle R.; Lai, Jun; Bocanegra, Bruno R.; Christiansen, Morten H. – Cognitive Science, 2018
It has been suggested that external and/or internal limitations paradoxically may lead to superior learning, that is, the concepts of "starting small" and "less is more" (Elman, 1993; Newport, 1990). In this paper, we explore the type of incremental ordering during training that might help learning, and what mechanism explains…
Descriptors: Grammar, Artificial Languages, Learning Processes, Teaching Methods
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Rahaman, Jeenath; Agrawal, Harshit; Srivastava, Nisheeth; Chandrasekharan, Sanjay – Cognitive Science, 2018
Manipulation of physical models such as tangrams and tiles is a popular approach to teaching early mathematics concepts. This pedagogical approach is extended by new computational media, where mathematical entities such as equations and vectors can be virtually manipulated. The cognitive and neural mechanisms supporting such manipulation-based…
Descriptors: Mathematics Instruction, Problem Solving, Manipulative Materials, Object Manipulation
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Brooks, Neon; Goldin-Meadow, Susan – Cognitive Science, 2016
Previous work has found that guiding problem-solvers' movements can have an immediate effect on their ability to solve a problem. Here we explore these processes in a learning paradigm. We ask whether guiding a learner's movements can have a delayed effect on learning, setting the stage for change that comes about only after instruction. Children…
Descriptors: Movement Education, Protocol Analysis, Mathematics Instruction, Mathematics Achievement
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Chi, Michelene T. H.; Roscoe, Rod D.; Slotta, James D.; Roy, Marguerite; Chase, Catherine C. – Cognitive Science, 2012
Studies exploring how students learn and understand science processes such as "diffusion" and "natural selection" typically find that students provide misconceived explanations of how the patterns of such processes arise (such as why giraffes' necks get longer over generations, or how ink dropped into water appears to "flow"). Instead of…
Descriptors: Instructional Effectiveness, Botany, Misconceptions, Scripts
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Nokes, Timothy J.; Ohlsson, Stellan – Cognitive Science, 2005
Contemporary theories of learning postulate one or at most a small number of different learning mechanisms. However, people are capable of mastering a given task through qualitatively different learning paths such as learning by instruction and learning by doing. We hypothesize that the knowledge acquired through such alternative paths differs…
Descriptors: Mastery Learning, Learning Theories, Laboratory Experiments, Learning Processes