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Chuderski, Adam; Jastrzebski, Jan; Kroczek, Bartlomiej; Kucwaj, Hanna; Ociepka, Michal – Metacognition and Learning, 2021
Participants rated Intuition, Suddenness, Pleasure, and Certainty accompanying their solutions to items of a popular fluid intelligence test -- Raven's Advanced Progressive Matrices (RAPM) -- that varied from easy (around 80% correct) to difficult (around 20% correct). The same ratings were collected from four insight problems interleaved with…
Descriptors: Metacognition, Intelligence Tests, Intuition, Difficulty Level
Reit, Xenia-Rosemarie; Schäfer, Marc – Journal on Mathematics Education, 2020
It remains a challenge for teachers to integrate modeling tasks in everyday mathematics classes. Many studies have been conducted that show the difficulties faced by teachers. One of the challenging aspects in this regard is that of assessment. In the present study, a connection between structures of learners' solution strategies and cognitive…
Descriptors: Teaching Methods, Mathematics Instruction, Mathematical Models, Problem Solving
Liu, Ying; Liu, Ru-De; Star, Jon; Wang, Jia; Zhen, Rui; Tong, Huimin – Journal of Educational Psychology, 2020
The More A-More B intuitive rule has become a research hotspot in the field of mathematical education in recent years. The intuitive rule of More A-More B is often reflected in students' responses to comparison tasks. In such tasks, students are asked to compare 2 objects that differ in a certain salient quantity A (where A[subscript 1] >…
Descriptors: Elementary School Students, Cognitive Processes, Intuition, Interference (Learning)
Wareham, Todd – Journal of Problem Solving, 2017
In human problem solving, there is a wide variation between individuals in problem solution time and success rate, regardless of whether or not this problem solving involves insight. In this paper, we apply computational and parameterized analysis to a plausible formalization of extended representation change theory (eRCT), an integration of…
Descriptors: Problem Solving, Schemata (Cognition), Intuition, Computation
He, Wei; Yang, Yingying; Gao, Dingguo – Journal of Cognition and Development, 2018
There have been mixed results in studies investigating proportional reasoning in young children. The current study aimed to examine whether providing visual scaling cues and structuring the reasoning process can improve proportional reasoning in 5- to 6-year-old children. In a series of computerized tasks, children compared the sweetness of 2…
Descriptors: Abstract Reasoning, Young Children, Task Analysis, Evaluative Thinking
Kwisthout, Johan – Journal of Problem Solving, 2012
When computer scientists discuss the computational complexity of, for example, finding the shortest path from building A to building B in some town or city, their starting point typically is a formal description of the problem at hand, e.g., a graph with weights on every edge where buildings correspond to vertices, routes between buildings to…
Descriptors: Problem Solving, Computation, Abstract Reasoning, Difficulty Level
Ash, Ivan K.; Jee, Benjamin D.; Wiley, Jennifer – Journal of Problem Solving, 2012
Gestalt psychologists proposed two distinct learning mechanisms. Associative learning occurs gradually through the repeated co-occurrence of external stimuli or memories. Insight learning occurs suddenly when people discover new relationships within their prior knowledge as a result of reasoning or problem solving processes that re-organize or…
Descriptors: Intuition, Learning Processes, Metacognition, Associative Learning
Merrill, Douglas C.; Reiser, Brian J. – 1994
External representations have a great impact on what and how students learn. One key manner in which environments can operate upon novices' knowledge is through helping them ground their problem solving in an understanding of the situation embodied by the problem. In this paper, students' difficulties in microeconomics problem solving were…
Descriptors: Coding, Cognitive Structures, Diagrams, Difficulty Level

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