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Aaron Chuey; Amanda McCarthy; Kristi Lockhart; Emmanuel Trouche; Mark Sheskin; Frank Keil – npj Science of Learning, 2021
Previous research shows that children effectively extract and utilize causal information, yet we find that adults doubt children's ability to understand complex mechanisms. Since adults themselves struggle to explain how everyday objects work, why expect more from children? Although remembering details may prove difficult, we argue that exposure…
Descriptors: Attribution Theory, Memory, Children, Expertise
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National Academies Press, 2018
There are many reasons to be curious about the way people learn, and the past several decades have seen an explosion of research that has important implications for individual learning, schooling, workforce training, and policy. In 2000, "How People Learn: Brain, Mind, Experience, and School: Expanded Edition" was published and its…
Descriptors: Learning Processes, Educational Environment, Brain, Cultural Influences
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Cen, Yonghua; Gan, Liren; Bai, Chen – Information Research: An International Electronic Journal, 2013
Introduction: The study seeks to answer two questions: How do university students learn to use correct strategies to conduct scholarly information searches without instructions? and, What are the differences in learning mechanisms between users at different cognitive levels? Method: Two groups of users, thirteen first year undergraduate students…
Descriptors: Undergraduate Students, College Freshmen, College Seniors, Search Strategies
Alfieri, Louis; Nokes, Timothy J.; Schunn, Christian D. – Society for Research on Educational Effectiveness, 2011
Analogous thinking has been commonly discussed as being an inherent and distinguishing characteristic of human cognition (e.g., Gentner, 2010; Goldstone, Day, & Son, 2010; Holyoak, in press; Rittle-Johnson & Star, in press). Gentner (2003) has argued that as part of the human cognitive toolbox, comparison accompanied by the relational language to…
Descriptors: Constructivism (Learning), Instructional Design, Experiential Learning, Meta Analysis
Roter, Armonit – 1985
Research was conducted to compare evidence of implicit processing in children and adults. Implicit processing was defined as inductive cognitive activities which enable people to abstract complex knowledge from the environment. The knowledge acquired is tacit; it guides subjects' behavior in various situations without the subjects necessarily…
Descriptors: Abstract Reasoning, Adults, Age Differences, Children
Murray, Frank B. – 1969
It was hypothesized that the acquisition of conservation behavior would be facilitated when stimuli were more concrete than abstract. Eighty white second graders were randomly assigned to four groups and presented with three conservation-of-weight problems. Clay balls and the conservation transformations were either shown, demonstrated, and…
Descriptors: Abstract Reasoning, Age Differences, Cognitive Development, Conservation (Concept)
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Flavell, John H.; And Others – Monographs of the Society for Research in Child Development, 1995
Reports results of 14 studies on children's knowledge about thinking. Suggests that preschoolers appear to know that thinking is an internal mental activity that can refer to real or imaginary objects or events. However, preschoolers are poor at determining when a person is and is not thinking. This shortcoming is considerably less evident in…
Descriptors: Abstract Reasoning, Age Differences, Cognitive Development, Cognitive Processes
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Ferrara, Roberta A.; And Others – Child Development, 1986
Two studies examined the relation between current developmental levels, as estimated by IQ, and proximal levels of development, as estimated by the efficiency of learning and transfer in assisted contexts. Subjects were 8- to ll-year-old children. Theoretical and clinical implications are discussed. (HOD)
Descriptors: Abstract Reasoning, Age Differences, Children, Cognitive Development
Klausmeier, Herbert J. – 1975
This study tested certain implied predictions regarding conceptual learning at each of four sequential levels of development: concrete level, identity level, classificatory level, and formal level. For this purpose, scaled batteries to assess the level of conceptual development of children, kindergarten through high school, were constructed and a…
Descriptors: Abstract Reasoning, Age Differences, Cognitive Development, Concept Formation
Kossan, Nancy E. – 1979
This study investigated developmental differences in the use of the common features abstraction strategy and the exemplar learning strategy for concept acquisition. Subjects were 30 second graders and 30 fifth graders. The concepts to be learned were two categories of artificial animals which differed on five dimensions. Each dimension had three…
Descriptors: Abstract Reasoning, Age Differences, Classification, Cognitive Development
Till, Robert E.; Walsh, David A. – Journal of Verbal Learning and Verbal Behavior, 1980
Reports three experiments to test age-related difFerences in sentence memory arising from sources other than noncognitive factors. Age-related differences are discussed in terms of deficiencies at encoding and retrieval. (PMJ)
Descriptors: Abstract Reasoning, Adults, Age, Age Differences
Saljo, Roger – 1979
Interview data on the learning experiences and techniques of 90 Swedish teenagers and adults were further analyzed to explore changes in views on learning reported by the subjects themselves, and differences between subjects with respect to age (range 15-73) and formal education (range 6-17 years). Some subjects equated knowledge with discrete…
Descriptors: Abstract Reasoning, Adults, Age Differences, Cognitive Development
Klausmeier, Herbert J.; And Others – 1976
The Conceptual Learning and Development (CLD) Model specifies four levels of concept attainment (concrete, identity, classificatory, and formal) and three uses of concepts (problem solving, subordinate-supraordinate, and principles). Longitudinal and cross-sectional studies of concept attainment may be conducted. The results of this study of 300…
Descriptors: Abstract Reasoning, Age Differences, Cognitive Development, Cognitive Measurement