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David Menendez; Sarah A. Brown; Martha W. Alibali – Cognitive Science, 2023
Why do people shift their strategies for solving problems? Past work has focused on the roles of contextual and individual factors in explaining whether people adopt new strategies when they are exposed to them. In this study, we examined a factor not considered in prior work: people's evaluations of the strategies themselves. We presented…
Descriptors: Individual Differences, Problem Solving, Learning Strategies, Self Evaluation (Individuals)
Armitage, Kristy L.; Redshaw, Jonathan – Child Development, 2022
Ninety-seven children aged 4-11 (49 males, 48 females, mostly White) were given the opportunity to improve their problem-solving performance by devising and implementing a novel cognitive offloading strategy. Across two phases, they searched for hidden rewards using maps that were either aligned or misaligned with the search space. In the second…
Descriptors: Children, Cognitive Style, Cognitive Processes, Problem Solving
David Menendez; Sarah A. Brown; Martha W. Alibali – Grantee Submission, 2023
Why do people shift their strategies for solving problems? Past work has focused on the roles of contextual and individual factors in explaining whether people adopt new strategies when they are exposed to them. In this study, we examined a factor not considered in prior work: people's evaluations of the strategies themselves. We presented…
Descriptors: Individual Differences, Problem Solving, Learning Strategies, Self Evaluation (Individuals)
Ellis, Derek M.; Robison, Matthew K.; Brewer, Gene A. – Journal of Intelligence, 2021
Individuals encounter problems daily wherein varying numbers of constraints require delimitation of memory to target goal-satisfying information. Multiply-constrained problems, such as the compound remote associates, are commonly used to study this type of problem solving. Since their development, multiply-constrained problems have been…
Descriptors: Cognitive Ability, Problem Solving, Short Term Memory, Attention Control
Mielicki, Marta K.; Fitzsimmons, Charles J.; Woodbury, Lauren H.; Marshal, Hannah; Zhang, Dake; Rivera, Ferdinand D.; Thompson, Clarissa A. – Grantee Submission, 2021
Prior work exploring preschool-aged children's reasoning with repeating patterns has shown that patterning ability is an important predictor of math achievement; however, there is limited research exploring older children's growing pattern task performance. The current study tested whether presentation format impacts performance on growing pattern…
Descriptors: Elementary School Students, Mathematics Skills, Number Concepts, Word Problems (Mathematics)
Fuchs, Lynn; Fuchs, Douglas; Seethaler, Pamela M.; Barnes, Marcia A. – ZDM: The International Journal on Mathematics Education, 2020
The focus of this article is the well documented association between low working memory capacity and difficulty with mathematical word-problem solving. We begin by describing a model that specifies how various cognitive resources, including working memory, contribute to individual differences in word-problem solving and by then summarizing…
Descriptors: Short Term Memory, Mathematics Instruction, Problem Solving, Word Problems (Mathematics)
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
Maria Bempeni; Stavroula Poulopoulou; Xenia Vamvakoussi – Online Submission, 2021
In the present study, we tested the hypotheses that: a) there are individual differences in secondary students' conceptual and procedural fraction knowledge, and b) these differences are predicted by students' approach (deep vs. surface) to mathematics learning. We used two instruments developed and evaluated for the purposes of the study which…
Descriptors: Mathematics Instruction, Teaching Methods, Prediction, Learning Processes
Burte, Heather; Gardony, Aaron L.; Hutton, Allyson; Taylor, Holly A. – Grantee Submission, 2018
Spatial visualization--the ability to mentally imagine and manipulate objects--has frequently been measured using the Paper Folding Test (PFT). In this task, participants view diagrams of a paper being folded and a hole being punched. They then identify the resulting punch pattern. Although task instructions promote mentally unfolding the paper,…
Descriptors: Spatial Ability, Visualization, Task Analysis, Problem Solving
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
Nelson, Lindsey J.; Fyfe, Emily R. – Metacognition and Learning, 2019
Metacognition is central to children's cognitive development. However, there is conflicting evidence about children's ability to accurately monitor their performance and subsequently control their behavior. This is of particular interest for mathematics topics on which children exhibit persistent misconceptions--that is, when children's knowledge…
Descriptors: Metacognition, Help Seeking, Decision Making, Self Esteem
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
Brown, Sarah A.; Menendez, David; Alibali, Martha W. – Grantee Submission, 2019
Why do people change their strategies for solving problems? In this research, we tested whether negative feedback and the context in which learners encounter a strategy influence their likelihood of adopting that strategy. In particular, we examined whether strategy adoption varied when learners were exposed to a target strategy in isolation, in…
Descriptors: Student Characteristics, Learning Strategies, Problem Solving, Feedback (Response)
Rastegarmoghadam, Mahin; Ziarati, Koorush – Education and Information Technologies, 2017
Swarm intelligence approaches, such as ant colony optimization (ACO), are used in adaptive e-learning systems and provide an effective method for finding optimal learning paths based on self-organization. The aim of this paper is to develop an improved modeling of adaptive tutoring systems using ACO. In this model, the learning object is…
Descriptors: Teaching Methods, Problem Solving, Intelligent Tutoring Systems, Educational Technology
Fyfe, Emily R.; DeCaro, Marci S.; Rittle-Johnson, Bethany – Instructional Science: An International Journal of the Learning Sciences, 2015
Feedback is generally considered a beneficial learning tool, and providing feedback is a recommended instructional practice. However, there are a variety of feedback types with little guidance on how to choose the most effective one. We examined individual differences in working memory capacity as a potential moderator of feedback type. Second-…
Descriptors: Short Term Memory, Feedback (Response), Grade 2, Grade 3