Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 3 |
| Since 2017 (last 10 years) | 4 |
| Since 2007 (last 20 years) | 6 |
Descriptor
| Problem Solving | 9 |
| Thinking Skills | 9 |
| Abstract Reasoning | 4 |
| Schemata (Cognition) | 3 |
| Children | 2 |
| Cognitive Mapping | 2 |
| Cognitive Processes | 2 |
| Comparative Analysis | 2 |
| Correlation | 2 |
| Mathematics | 2 |
| Memory | 2 |
| More ▼ | |
Source
| Cognitive Science | 9 |
Author
| Arnoldi, Jakob | 1 |
| Bangert, Ashley S. | 1 |
| Bibby, Peter A. | 1 |
| Bonan Zhao | 1 |
| Davies, Jim | 1 |
| Dixon, James A. | 1 |
| Fusaroli, Riccardo | 1 |
| Huang Ham | 1 |
| LeBlanc, Mark D. | 1 |
| Martin, Taylor | 1 |
| Masnick, Amy M. | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 9 |
| Reports - Research | 6 |
| Reports - Descriptive | 3 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Tylén, Kristian; Fusaroli, Riccardo; Østergaard, Sara Møller; Smith, Pernille; Arnoldi, Jakob – Cognitive Science, 2023
Capacities for abstract thinking and problem-solving are central to human cognition. Processes of abstraction allow the transfer of experiences and knowledge between contexts helping us make informed decisions in new or changing contexts. While we are often inclined to relate such reasoning capacities to individual minds and brains, they may in…
Descriptors: Abstract Reasoning, Thinking Skills, Problem Solving, Transfer of Training
Huang Ham; Bonan Zhao; Thomas L. Griffiths; Natalia Vélez – Cognitive Science, 2025
A hallmark of effective teaching is that it grants learners not just a collection of facts about the world, but also a toolkit of abstractions that can be applied to solve new problems. How do humans teach abstractions from examples? Here, we applied Bayesian models of pedagogy to a necklace-building task where teachers create necklaces to teach a…
Descriptors: Teaching Methods, Instructional Effectiveness, Skill Development, Problem Solving
Parsons, John-Dennis; Davies, Jim – Cognitive Science, 2022
Analogical reasoning is a core facet of higher cognition in humans. Creating analogies as we navigate the environment helps us learn. Analogies involve reframing novel encounters using knowledge of familiar, relationally similar contexts stored in memory. When an analogy links a novel encounter with a familiar context, it can aid in problem…
Descriptors: Correlation, Thinking Skills, Schemata (Cognition), Inferences
Simms, Nina K.; Richland, Lindsey E. – Cognitive Science, 2019
Relational reasoning is a hallmark of human higher cognition and creativity, yet it is notoriously difficult to encourage in abstract tasks, even in adults. Generally, young children initially focus more on objects, but with age become more focused on relations. While prerequisite knowledge and cognitive resource maturation partially explains this…
Descriptors: Thinking Skills, Schemata (Cognition), Age Differences, Correlation
Morris, Bradley J.; Masnick, Amy M. – Cognitive Science, 2015
Comparing datasets, that is, sets of numbers in context, is a critical skill in higher order cognition. Although much is known about how people compare single numbers, little is known about how number sets are represented and compared. We investigated how subjects compared datasets that varied in their statistical properties, including ratio of…
Descriptors: Comparative Analysis, Number Concepts, Thinking Skills, Critical Thinking
Ritter, Frank E.; Bibby, Peter A. – Cognitive Science, 2008
We have developed a process model that learns in multiple ways while finding faults in a simple control panel device. The model predicts human participants' learning through its own learning. The model's performance was systematically compared to human learning data, including the time course and specific sequence of learned behaviors. These…
Descriptors: Problem Solving, Artificial Intelligence, Comparative Analysis, Task Analysis
Martin, Taylor; Schwartz, Daniel L. – Cognitive Science, 2005
Five studies examined how interacting with the physical environment can support the development of fraction concepts. Nine-and 10-year-old children worked on fraction problems they could not complete mentally. Experiments 1 and 2 showed that manipulating physical pieces facilitated children's ability to develop an interpretation of fractions.…
Descriptors: Physical Environment, Problem Solving, Children, Experiments
Dixon, James A.; Bangert, Ashley S. – Cognitive Science, 2004
People spontaneously discover new representations during problem solving. Discovery of a mathematical representation is of special interest, because it shows that the underlying structure of the problem has been extracted. In the current study, participants solved gear-system problems as part of a game. Although none of the participants initially…
Descriptors: Problem Solving, Mathematics, Mathematical Aptitude, Mathematics Skills
Peer reviewedLeBlanc, Mark D.; Weber-Russell, Sylvia – Cognitive Science, 1996
A growing body of empirical and theoretical work indicates that young children (grades K-3) have difficulties solving word problems because of deficient language and text comprehension strategies. Describes a computer simulation designed to model working memory demands in "bottom-up" comprehension of arithmetic word problems, offering a…
Descriptors: Children, Cognitive Processes, Computer Simulation, Elementary School Mathematics

Direct link
