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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)
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Lauren Baade; Effie Kartsonaki; Hassan Khosravi; Gwendolyn A. Lawrie – Chemistry Education Research and Practice, 2025
Effective learning in chemistry education requires students to understand visual representations across multiple conceptual levels. Essential to this process are visuospatial skills which enable students to interpret and manipulate these representations effectively. These abilities allow students to construct mental models that support problem…
Descriptors: Visualization, Thinking Skills, Spatial Ability, 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)
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
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Hinze, Scott R.; Rapp, David N.; Williamson, Vickie M.; Shultz, Mary Jane; Deslongchamps, Ghislain; Williamson, Kenneth C. – Learning and Instruction, 2013
Students are frequently presented with novel visualizations introducing scientific concepts and processes normally unobservable to the naked eye. Despite being unfamiliar, students are expected to understand and employ the visualizations to solve problems. Domain experts exhibit more competency than novices when using complex visualizations, but…
Descriptors: Prior Learning, Individual Differences, Novices, Organic Chemistry
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McGee, Mark G. – Journal of Psychology, 1978
Finds support for the hypothesis that individuals who prefer a visualization strategy will obtain higher scores on the "Mental Rotation Test" than individuals who prefer an orientation strategy. (RL)
Descriptors: Cognitive Style, Higher Education, Individual Differences, Problem Solving
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection