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Newman, Ian R.; Gibb, Maia; Thompson, Valerie A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
It is commonly assumed that belief-based reasoning is fast and automatic, whereas rule-based reasoning is slower and more effortful. Dual-Process theories of reasoning rely on this speed-asymmetry explanation to account for a number of reasoning phenomena, such as base-rate neglect and belief-bias. The goal of the current study was to test this…
Descriptors: Logical Thinking, Beliefs, Bias, Problem Solving
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Agus, Mirian; Peró-Cebollero, Maribel; Guàrdia-Olmos, Joan; Portoghese, Igor; Mascia, Maria Lidia; Penna, Maria Pietronilla – EURASIA Journal of Mathematics, Science and Technology Education, 2020
This paper reports some experiments on probabilistic reasoning designed to investigate the impact of the probabilistic problem presentation format (verbal-numerical and graphical-pictorial) on subjects' confidence in the correctness of their performance, other than the calibration between confidence and accuracy. To understand the potential effect…
Descriptors: Accuracy, Self Efficacy, Context Effect, Statistics
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Saenen, Lore; Heyvaert, Mieke; Van Dooren, Wim; Onghena, Patrick – ZDM: The International Journal on Mathematics Education, 2015
The Monty Hall dilemma (MHD) is a counterintuitive probability problem in which participants often use misleading heuristics, such as the equiprobability bias. Finding the optimal solution to the MHD requires inhibition of these heuristics. In the current study, we investigated the relation between participants' equiprobability bias and their MHD…
Descriptors: Probability, Inhibition, Heuristics, Correlation
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Lee, Hee Seung; Betts, Shawn; Anderson, John R. – Cognitive Science, 2016
Learning to solve a class of problems can be characterized as a search through a space of hypotheses about the rules for solving these problems. A series of four experiments studied how different learning conditions affected the search among hypotheses about the solution rule for a simple computational problem. Experiment 1 showed that a problem…
Descriptors: Problem Solving, Hypothesis Testing, Experiments, Cognitive Processes
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Cavallaro, Maria Ines; Anaya, Marta; Argiz, Elsa Garcia; Aurucis, Patricia – International Journal of Mathematical Education in Science and Technology, 2007
The paper discusses the interaction between intuitive biases of probabilistic thinking and mathematical knowledge. It would appear that students may answer numerical problems correctly but falter on simple descriptive solutions. Students appear to relinquish formal knowledge for simpler heuristics when attempting to describe the outcome of an…
Descriptors: Mathematics Education, Mathematics Instruction, Probability, Mathematics Skills
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Tversky, Amos; Kahneman, Daniel – Science, 1974
Biases in judgment reveal some heuristics of thinking about uncertainty. Three heuristics are discussed. (Author/RH)
Descriptors: Bias, Cognitive Processes, Decision Making, Decision Making Skills
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MacMahon, Kenneth M. A.; Jahoda, Andrew; Espie, Colin A.; Broomfield, Niall M. – Journal of Applied Research in Intellectual Disabilities, 2006
Background: Recent studies have suggested that cognitive biases may play an important mediating role in aggressive outbursts from people with mild intellectual disabilities (IDs). Essentially, some individuals may frequently perceive other people as acting towards them in a hostile fashion. This biased perception may develop through repeated…
Descriptors: Arousal Patterns, Mental Retardation, Problem Solving, Adolescents