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Showing 1 to 15 of 92 results Save | Export
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Ransom, Keith J.; Perfors, Andrew; Hayes, Brett K.; Connor Desai, Saoirse – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
In describing how people generalize from observed samples of data to novel cases, theories of inductive inference have emphasized the learner's reliance on the contents of the sample. More recently, a growing body of literature suggests that different assumptions about how a data sample was generated can lead the learner to draw qualitatively…
Descriptors: Sampling, Generalization, Inferences, Logical Thinking
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Ralston, Robert W.; Sloutsky, Vladimir M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Young children can generalize from known to novel, but the underlying mechanism is still debated. Some argue that from an early age generalization is category-based and undergoes little development, while others believe that early generalization is similarity-based, and the use of categories emerges over time. The current research brings new…
Descriptors: Generalization, Logical Thinking, Age Differences, Task Analysis
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Ali Barahmand; Nargessadat Attari – Educational Studies in Mathematics, 2025
Different types of reasoning, such as intuitive, inductive, and deductive, are used in the generalization of figural patterns, as an important part of patterns in school mathematics. It is difficult to demarcate the constructive patterns where the regularity observed in the first few sentences is generalizable to the other sentences and each…
Descriptors: High School Students, Grade 10, Females, Mathematical Concepts
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Peters, Uwe; Krauss, Alexander; Braganza, Oliver – Cognitive Science, 2022
Many scientists routinely generalize from study samples to larger populations. It is commonly assumed that this cognitive process of scientific induction is a voluntary inference in which researchers assess the generalizability of their data and then draw conclusions accordingly. We challenge this view and argue for a novel account. The account…
Descriptors: Sciences, Bias, Generalization, Cognitive Processes
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Hayes, Brett K.; Liew, Shi Xian; Desai, Saoirse Connor; Navarro, Danielle J.; Wen, Yuhang – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
The samples of evidence we use to make inferences in everyday and formal settings are often subject to selection biases. Two property induction experiments examined group and individual sensitivity to one type of selection bias: sampling frames - causal constraints that only allow certain types of instances to be sampled. Group data from both…
Descriptors: Logical Thinking, Inferences, Bias, Individual Differences
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Lovibond, Peter F.; Lee, Jessica C.; Hayes, Brett K. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Generalization of learning can arise from 2 distinct sources: failure to discriminate a novel test stimulus from the trained stimulus and active extrapolation from the trained stimulus to the test stimulus despite them being discriminable. We investigated these 2 processes in a predictive learning task by testing stimulus discriminability…
Descriptors: Stimuli, Discrimination Learning, Perception, Generalization
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Kalkstein, David A.; Bosch, David A.; Kleiman, Tali – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
In five experiments, we established and explored the contrast diversity effect--the effect of diversity of negative evidence on inductive inferences drawn from a single observation of a target exemplar. In Experiments 1 through 3, we show that increasing the diversity of negative evidence in a contrasting category led people to infer that a target…
Descriptors: Inferences, Logical Thinking, Differences, Evidence
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Dogan Coskun, Sumeyra – Participatory Educational Research, 2021
The purpose of this study is to examine how pre-service elementary teachers generalize a non-linear figural pattern task and justify their generalizations. More specifically, this study focuses on strategies and reasoning types employed by pre-service elementary teachers throughout generalization and justification processes. Data were collected…
Descriptors: Foreign Countries, Preservice Teachers, Elementary School Teachers, Abstract Reasoning
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Fowler, Megan; Hallstrom, Jason; Hollingsworth, Joseph; Kraemer, Eileen; Sitaraman, Murali; Sun, Yu-Shan; Wang, Jiadi; Washington, Gloria – Informatics in Education, 2021
Computer science students often evaluate the behavior of the code they write by running it on specific inputs and studying the outputs, and then apply their comprehension to a more general understanding of the code. While this is a good starting point in the student's career, successful graduates must be able to reason analytically about the code…
Descriptors: Computer Science Education, Coding, Computer Software, Abstract Reasoning
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Viennot, Laurence; Décamp, Nicolas – Contributions from Science Education Research, 2020
This chapter illustrates the main warning signals that could help us to detect the flaws of an explanation in physics: internal contradiction (two examples); direct contradiction of a law of physics (one example); indirect contradiction of a law of physics (one example); logical incompleteness of an explanation (three examples); overgeneralization…
Descriptors: Critical Reading, Critical Thinking, Physics, Misconceptions
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Austerweil, Joseph L.; Sanborn, Sophia; Griffiths, Thomas L. – Cognitive Science, 2019
Generalization is a fundamental problem solved by every cognitive system in essentially every domain. Although it is known that how people generalize varies in complex ways depending on the context or domain, it is an open question how people "learn" the appropriate way to generalize for a new context. To understand this capability, we…
Descriptors: Generalization, Logical Thinking, Inferences, Bayesian Statistics
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Basir, Mochamad Abdul; Waluya, S. B.; Dwijanto; Isnarto – European Journal of Educational Research, 2022
Cognitive processes are procedures for using existing knowledge to combine it with new knowledge and make decisions based on that knowledge. This study aims to identify the cognitive structure of students during information processing based on the level of algebraic reasoning ability. This type of research is qualitative with exploratory methods.…
Descriptors: Cognitive Structures, Cognitive Processes, Algebra, Mathematical Logic
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Roh, Kyeong Hah; Parr, Erika David; Eckman, Derek; Sellers, Morgan – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
The purpose of this paper is to highlight issues related to students' personal inferences that arise when students verbally explain their justification for calculus statements. We conducted clinical interviews with three undergraduate students who had taken first-semester calculus but had not yet been exposed to formal proof writing activities…
Descriptors: Undergraduate Students, Calculus, Mathematics Instruction, Inferences
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Hallinen, Nicole R.; Sprague, Lauren N.; Blair, Kristen P.; Adler, Rebecca M.; Newcombe, Nora S. – Cognitive Research: Principles and Implications, 2021
Background: One criterion of adaptive learning is appropriate generalization to new instances based on the original learning context and avoiding overgeneralization. Appropriate generalization requires understanding what features of a solution are applicable in a new context and whether the new context requires modifications or a new approach. In…
Descriptors: Mathematics Education, Algebra, Generalization, Mathematics Skills
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Riggs, Anne E. – Developmental Psychology, 2019
To acquire social conventional knowledge, children must distinguish between behaviors that are practiced by groups of people versus those that are practiced by individuals. How do children infer the scope (i.e., level of generality) of social behavior? Prior work has addressed this question by focusing on the cues or instruction that adults…
Descriptors: Inferences, Social Behavior, Logical Thinking, Statistics
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