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Yi Ding; Qian Wang; Ru-De Liu; Jolene Trimm; Jiayi Wang; Shu Feng; Wei Hong; Xian-Tong Yang – SAGE Open, 2024
The paper examined the relations among problem solving, automaticity, and working memory load (WML) by changing the difficulty level of task characteristics through two applications. In Study 1, involving 68 engineering students, a 2 (automaticity) x 2 (WML) design was utilized for arithmetic problems. In Study 2, involving 76 engineering…
Descriptors: Short Term Memory, Cognitive Processes, Difficulty Level, Problem Solving
MacGregor, James N. – Journal of Problem Solving, 2017
The article reports three experiments designed to explore heuristics used in comparing the lengths of completed Euclidean Traveling Salesman Problem (E-TSP) tours. The experiments used paired comparisons in which participants judged which of two completed tours of the same point set was shorter. The first experiment manipulated two factors, the…
Descriptors: College Students, Heuristics, Problem Solving, Mathematical Applications
Anderson, John R.; Fincham, Jon M. – Cognitive Science, 2014
Multi-voxel pattern recognition techniques combined with Hidden Markov models can be used to discover the mental states that people go through in performing a task. The combined method identifies both the mental states and how their durations vary with experimental conditions. We apply this method to a task where participants solve novel…
Descriptors: Cognitive Structures, Pattern Recognition, Markov Processes, Cognitive Processes
Maheux, Jean-Francois; Roth, Wolff-Michael – For the Learning of Mathematics, 2011
Current conceptualizations of knowing and learning tend to separate the knower from others, the world they know, and themselves. In this article, we offer "relationality" as an alternative to such conceptualizations of mathematical knowing. We begin with the perspective of Maturana and Varela to articulate some of its problems and our alternative.…
Descriptors: Mathematics Instruction, Geometry, Learning, Critical Thinking
MacGregor, James N.; Chu, Yun – Journal of Problem Solving, 2011
The article provides a review of recent research on human performance on the traveling salesman problem (TSP) and related combinatorial optimization problems. We discuss what combinatorial optimization problems are, why they are important, and why they may be of interest to cognitive scientists. We next describe the main characteristics of human…
Descriptors: Problem Solving, Mathematical Applications, Graphs, Performance
McMaster, Kirby; Sambasivam, Samuel; Blake, Ashley – Information Systems Education Journal, 2012
In this research, we examine how problem solving frameworks differ between Mathematics and Software Development. Our methodology is based on the assumption that the words used frequently in a book indicate the mental framework of the author. We compared word frequencies in a sample of 139 books that discuss problem solving. The books were grouped…
Descriptors: Problem Solving, Models, Computer Software, Mathematics
Yeo, Joseph B. W.; Yeap, Ban Har – International Journal for Mathematics Teaching and Learning, 2010
Many educators believe that mathematical investigation involves both problem posing and problem solving, but some teachers have taught their students to investigate during problem solving. The confusion about the relationship between investigation and problem solving may affect how teachers teach their students and how researchers conduct their…
Descriptors: Investigations, Problem Solving, Mathematics Instruction, Cognitive Processes
van Loon-Hillen, Nelleke; van Gog, Tamara; Brand-Gruwel, Saskia – Interactive Learning Environments, 2012
A large body of research has shown that for novice learners, instruction that relies more heavily on worked examples than on problem solving, is more effective for learning as shown by higher test performance. Moreover, this beneficial effect is often obtained with less acquisition time and lower cognitive load during acquisition and test phase.…
Descriptors: Mathematics Curriculum, Quasiexperimental Design, Learning Strategies, Problem Solving
Barmby, Patrick; Harries, Tony; Higgins, Steve; Suggate, Jennifer – Educational Studies in Mathematics, 2009
We examine whether the array representation can support children's understanding and reasoning in multiplication. To begin, we define what we mean by understanding and reasoning. We adopt a "representational-reasoning" model of understanding, where understanding is seen as connections being made between mental representations of concepts, with…
Descriptors: Computer Uses in Education, Multiplication, Mathematical Concepts, Mathematical Logic
Peer reviewedWagner, Clifford H. – Mathematics Teacher, 1979
A series of five questions, related to a specific example, outlines the process of applying mathematics to real-life problems. These include needed information, translation, assumptions, solution, and generalizations. (MP)
Descriptors: Cognitive Processes, Consumer Education, Instruction, Mathematical Applications
Peer reviewedDeCorte, Erik; Verschaffel, Lieven – Journal of Educational Psychology, 1981
Using error analysis and individual interviews, the problem-solving actions of first and second graders were analyzed. Shortcomings of children's knowledge and solution strategies were seen to be overcome by instruction. A control group, with usual arithmetic instruction, and an experimental group were established and the hypothesized…
Descriptors: Addition, Arithmetic, Cognitive Processes, Foreign Countries
Koedinger, Kenneth R.; Nathan, Mitchell J. – Journal of the Learning Sciences, 2004
This article explores how differences in problem representations change both the performance and underlying cognitive processes of beginning algebra students engaged in quantitative reasoning. Contrary to beliefs held by practitioners and researchers in mathematics education, students were more successful solving simple algebra story problems than…
Descriptors: Mathematics Education, Algebra, Problem Solving, Cognitive Processes
Esteley, Cristina; Villarreal, Monica; Alagia, Humberto – International Group for the Psychology of Mathematics Education, 2004
This research report presents a study of the work of agronomy majors in which an extension of linear models to non-linear contexts can be observed. By linear models we mean the model y=a.x+b, some particular representations of direct proportionality and the diagram for the rule of three. Its presence and persistence in different types of problems…
Descriptors: Agronomy, College Students, Foreign Countries, Mathematical Concepts
Hjalmarson, Margret – 2001
This paper describes a models and modeling framework that has been applied to various areas in teaching, learning and problem solving. It examines the implications of that framework on metacognition and higher order thinking during everyday problem-solving situations that required teams of students to produce complex solutions in approximately 1-2…
Descriptors: Cognitive Processes, Elementary Education, Group Activities, Mathematical Applications
Peer reviewedKulm, Gerald – School Science and Mathematics, 1982
As calculators and computer use increases in mathematics education, more educators are recognizing a shift in emphasis from computation to problem solving. Ways to generate problems that can be used to develop pupil creativity and insight are suggested, and process-oriented instruction is promoted. (MP)
Descriptors: Cognitive Processes, Elementary Secondary Education, Mathematical Applications, Mathematics Curriculum

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