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Henry Markovits; Valerie A. Thompson – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Mental model (Johnson-Laird, 2001) and probabilistic theories (Oaksford & Chater, 2009) claim to provide distinct explanations of human reasoning. However, the dual strategy model of reasoning suggests that this distinction corresponds to different reasoning strategies, termed "counterexample" and "statistical,"…
Descriptors: Abstract Reasoning, Thinking Skills, Learning Strategies, Logical Thinking
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Lloyd, Kevin; Sanborn, Adam; Leslie, David; Lewandowsky, Stephan – Cognitive Science, 2019
Algorithms for approximate Bayesian inference, such as those based on sampling (i.e., Monte Carlo methods), provide a natural source of models of how people may deal with uncertainty with limited cognitive resources. Here, we consider the idea that individual differences in working memory capacity (WMC) may be usefully modeled in terms of the…
Descriptors: Short Term Memory, Bayesian Statistics, Cognitive Ability, Individual Differences
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Rhodes, Katherine T.; Lukowski, Sarah; Branum-Martin, Lee; Opfer, John; Geary, David C.; Petrill, Stephen A. – Journal of Educational Psychology, 2019
The strategy choice model (SCM) is a highly influential theory of human problem-solving. One strength of this theory is the allowance for both item and person variance to contribute to problem-solving outcomes, but this central tenet of the model has not been empirically tested. Explanatory item response theory (EIRT) provides an ideal approach to…
Descriptors: Learning Strategies, Addition, Problem Solving, Item Response Theory
Rhodes, Katherine T.; Lukowski, Sarah; Branum-Martin, Lee; Opfer, John; Geary, David C.; Petrill, Stephen A. – Grantee Submission, 2018
The strategy choice model (SCM) is a highly influential theory of human problem-solving. One strength of this theory is the allowance for both item and person variance to contribute to problem-solving outcomes, but this central tenet of the model has not been empirically tested. Explanatory item response theory (EIRT) provides an ideal approach to…
Descriptors: Learning Strategies, Addition, Problem Solving, Item Response Theory
Alibali, Martha W.; Brown, Sarah A.; Menendez, David – Grantee Submission, 2019
Learning, development, and response to instruction often involve changes in the strategies that learners use to solve problems. In this chapter, our focus is on mathematical problem solving in both children and adults. We offer a selective review of research on three classes of factors that may influence processes of strategy change in…
Descriptors: Learning Strategies, Problem Solving, Mathematics Skills, Mathematics Instruction
Gropper, George L. – Educational Technology, 2015
This article takes a contrarian position: an "instructional design" or "teacher training" model, because of the sheer number of its interconnected parameters, is too complex to assess or to compare with other models. Models may not be the way to go just yet. This article recommends instead prior experimental research on limited…
Descriptors: Instructional Design, Models, Teacher Education, Differences
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Cools, Eva; Bellens, Kim – Learning and Individual Differences, 2012
To bring order in concepts related to individual learner differences, Curry (1983) designed the three-layered onion model. As this model provides an interesting way to distinguish related concepts--such as cognitive styles and approaches to studying--on the basis of their stability in learning situations, ample studies build further on this model.…
Descriptors: Cognitive Style, Models, Educational Practices, Individual Differences
Gropper, George L. – Educational Technology, 2015
Instructional design can be more effective if it is as fixedly dedicated to the accommodation of individual differences as it currently is to the accommodation of subject matters. That is the hypothesis. A menu of accommodation options is provided that is applicable at each of three stages of instructional development or administration: before,…
Descriptors: Instructional Design, Individual Differences, Student Needs, Remedial Instruction
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Brown, Scott D.; Steyvers, Mark – Cognitive Psychology, 2009
When required to predict sequential events, such as random coin tosses or basketball free throws, people reliably use inappropriate strategies, such as inferring temporal structure when none is present. We investigate the ability of observers to predict sequential events in dynamically changing environments, where there is an opportunity to detect…
Descriptors: Preschool Children, Probability, Learning Strategies, Prediction
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Farrington-Flint, Lee; Stash, Amanda; Stiller, James – Educational Psychology, 2008
This study examined the role of variability and change in children's strategy performance within the context of spelling. The spelling ability of 34 eight- to nine-year-olds was examined using an experimental spelling task comprising 45 items, which varied with regard to rime unit frequency. The spelling task incorporated a series of consistent,…
Descriptors: Spelling, Intervals, Learning Strategies, Cognitive Style
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Bidjerano, Temi; Dai, David Yun – Learning and Individual Differences, 2007
The study examined the relationship between the big-five model of personality and the use of self-regulated learning strategies. Measures of self-regulated learning strategies and big-five personality traits were administered to a sample of undergraduate students. Results from canonical correlation analysis indicated an overlap between the…
Descriptors: Undergraduate Students, Personality Traits, Grade Point Average, Learning Strategies
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Britton, Bruce K.; Stimson, Mark; Stennett, Barry; Gulgoz, Sami – Journal of Educational Psychology, 1998
An individual differences model of learning from instructional text was tested with 211 Air Force recruits. Results strongly supported the model, which suggests that learning from text is determined by making connections among ideas that include the text and prior learning. Making the connections depends on individual differences. (SLD)
Descriptors: Armed Forces, Individual Differences, Learning Strategies, Military Personnel
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Chiu, Ming Ming; Chow, Bonnie Wing-Yin; Mcbride-Chang, Catherine – Learning and Individual Differences, 2007
We examined whether strategies of memorization, transfer through elaboration, and metacognition accounted for reading, science, and mathematics achievement across 34 countries. 158,848 fifteen-year-olds completed a reading literacy test and a questionnaire. Of these students, 88,401 completed a science test, and 88,590 completed a mathematics…
Descriptors: Reading Achievement, Mathematics Achievement, Sciences, Foreign Countries
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Crowley, Kevin; Shrager, Jeff; Siegler, Robert S. – Developmental Review, 1997
Discusses metacognitive and associative models of children's strategy discovery and use. Contends that models based on only one type of mechanism cannot entirely account for observed variability and constraint revealed by microgenetic studies of children's strategy change. Proposes a new model of children's strategy development in which…
Descriptors: Associative Learning, Children, Cognitive Development, Individual Differences
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Callan, Roger John – NASSP Bulletin, 1996
Describes a project involving a group of 65 freshmen at a private girls' high school. After taking the Dunn, Dunn, and Price Learning Style Inventory, students were given their preferred learning-style profiles and instructions for adapting learning and study methods. Test scores improved substantially without implementing a comprehensive…
Descriptors: Cognitive Style, High Schools, Individual Differences, Learning Strategies
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