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Sloman, Sabina J.; Goldstone, Robert L.; Gonzalez, Cleotilde – Cognitive Science, 2021
How do people use information from others to solve complex problems? Prior work has addressed this question by placing people in social learning situations where the problems they were asked to solve required varying degrees of exploration. This past work uncovered important interactions between groups' "connectivity" and the problem's…
Descriptors: Cooperative Learning, Problem Solving, Information Utilization, Models
Tohir, Mohammad; Maswar, Maswar; Atikurrahman, Moh.; Saiful, Saiful; Pradita, Diyah Ayu Rizki – European Journal of Educational Research, 2020
This research aims to describe the expectations of prospective teachers for students' mathematical thinking processes in solving problem-based on the Polya model. This model is perceived by the theory of mathematical thought processes proposed by Mason. A descriptive method with a qualitative approach was used in this research. The research…
Descriptors: Preservice Teachers, Mathematical Logic, Problem Solving, Cognitive Processes
Zhang, Mengxue; Wang, Zichao; Baraniuk, Richard; Lan, Andrew – International Educational Data Mining Society, 2021
Feedback on student answers and even during intermediate steps in their solutions to open-ended questions is an important element in math education. Such feedback can help students correct their errors and ultimately lead to improved learning outcomes. Most existing approaches for automated student solution analysis and feedback require manually…
Descriptors: Mathematics Instruction, Teaching Methods, Intelligent Tutoring Systems, Error Patterns
Zhang, Jiayi; Andres, Juliana Ma. Alexandra L.; Hutt, Stephen; Baker, Ryan S.; Ocumpaugh, Jaclyn; Nasiar, Nidhi; Mills, Caitlin; Brooks, Jamiella; Sethuaman, Sheela; Young, Tyron – Journal of Educational Data Mining, 2022
Self-regulated learning (SRL) is a critical component of mathematics problem-solving. Students skilled in SRL are more likely to effectively set goals, search for information, and direct their attention and cognitive process so that they align their efforts with their objectives. An influential framework for SRL, the SMART model (Winne, 2017),…
Descriptors: Problem Solving, Mathematics Instruction, Learning Management Systems, Learning Analytics
Perea, Manuel; Moret-Tatay, Carmen; Panadero, Victoria – Journal of Memory and Language, 2011
Readers of the Roman script must "unlearn" some forms of mirror generalization when processing printed stimuli (i.e., herb and herd are different words). Here we examine whether the suppression of mirror generalization is a process that affects all letters or whether it mostly affects reversible letters (i.e., b/d). Three masked priming lexical…
Descriptors: Priming, Evidence, Word Recognition, Generalization
Sibley, Duncan F. – Journal of Geoscience Education, 2009
Humans reason by analogy (Lakoff and Johnson, 1980; Gentner, 1983; 2003; Hofstadter, 2001, 2006; Pinker, 2007). Some have further argued that analogs can be scientific models (Hesse, 1966, Clement, 1989) although clearly not all analogies are models. Analogies based on mere physical similarity are not equivalent to scientific models but analogies…
Descriptors: Models, Geology, Cognitive Processes, Logical Thinking
Svetina, Dubravka; Gorin, Joanna S.; Tatsuoka, Kikumi K. – International Journal of Testing, 2011
As a construct definition, the current study develops a cognitive model describing the knowledge, skills, and abilities measured by critical reading test items on a high-stakes assessment used for selection decisions in the United States. Additionally, in order to establish generalizability of the construct meaning to other similarly structured…
Descriptors: Reading Tests, Reading Comprehension, Critical Reading, Test Items
Chater, Nick; Brown, Gordon D. A. – Cognitive Science, 2008
The remarkable successes of the physical sciences have been built on highly general quantitative laws, which serve as the basis for understanding an enormous variety of specific physical systems. How far is it possible to construct universal principles in the cognitive sciences, in terms of which specific aspects of perception, memory, or decision…
Descriptors: Sciences, Scientific Principles, Models, Memory
Endress, Ansgar D.; Dehaene-Lambertz, Ghislaine; Mehler, Jacques – Cognition, 2007
Cognitive processes are often attributed to statistical or symbolic general-purpose mechanisms. Here we show that some spontaneous generalizations are driven by specialized, highly constrained symbolic operations. We explore how two types of artificial grammars are acquired, one based on repetitions and the other on characteristic relations…
Descriptors: Cognitive Processes, Generalization, Grammar, Physiology

Gamlin, Peter J. – Canadian Journal of Special Education, 1989
A developmental model of mental activity is proposed, describing central processing skills that are metaphorical in nature. This metaphorical thinking, in which semantic fields and knowledge domains are juxtaposed to enable individuals to perceive similarities between prior knowledge and unfamiliar situations, enables individuals to develop toward…
Descriptors: Cognitive Processes, Elementary Secondary Education, Generalization, Individual Development
Vigliocco, Gabriella; Vinson, David P.; Lewis, William; Garrett, Merrill F. – Cognitive Psychology, 2004
This paper presents the Featural and Unitary Semantic Space (FUSS) hypothesis of the meanings of object and action words. The hypothesis, implemented in a statistical model, is based on the following assumptions: First, it is assumed that the meanings of words are grounded in conceptual featural representations, some of which are organized…
Descriptors: Semantics, Hypothesis Testing, Models, Syntax
Klausmeier, Herbert J. – 1971
In this essay, research done on concept learning is discussed. The study analyzes concept learning as one form of learning, formulating guidelines for teaching concepts, and describes the abilities underlying the attainment of concepts. An analytical model is presented; various operations such as concrete concepts and identity concepts are…
Descriptors: Cognitive Development, Cognitive Processes, Concept Formation, Concept Teaching

Katims, David S. – Preventing School Failure, 1990
The article presents a model of learning based on the four learning stages of (1) acquisition, (2) proficiency, (3) maintenance, and (4) generalization. The importance of directing instruction at the appropriate learning stage is stressed and examples are given. (DB)
Descriptors: Cognitive Processes, Elementary Secondary Education, Generalization, Learning Strategies
Pines, A. Leon – 1979
Discussed are the nature of the development of conceptual relationships, and the structure of concepts. The topics are presented with regard to the importance of combining metaphors with two alternate approaches to learning, the first being rote learning and the other being inductive learning. The paper is intended to be a model of the concept of…
Descriptors: Cognitive Processes, Concept Formation, Concept Teaching, Generalization
Unruh, David – 1990
This paper presents the Hypothesis Testing Theory/Model and the Information Processing Model developed by M. Parrill-Bernstein in relation to the field of behavior disorders. The models provide a framework for (1) studying both problem solving skills and social behavior and (2) developing intervention programs for behavior disordered adolescents.…
Descriptors: Basic Skills, Behavior Disorders, Cognitive Processes, Elementary Secondary Education
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