How feedback improves children's numerical estimation
| Autor: | Hilary Barth, Jennifer Garcia, Emily Slusser, Shipra Kanjlia, Jessica Taggart, Elizabeth Chase |
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| Rok vydání: | 2015 |
| Předmět: |
Male
Concept Formation Numerical cognition Individuality Experimental and Cognitive Psychology 050105 experimental psychology Feedback Judgment Arts and Humanities (miscellaneous) Concept learning Developmental and Educational Psychology Cognitive development Humans 0501 psychology and cognitive sciences Child Categorical variable Problem Solving Estimation 05 social sciences Pattern Recognition Visual Mental representation Corrective feedback Female Numerical estimation Probability Learning Psychology Mathematics 050104 developmental & child psychology Cognitive psychology |
| Zdroj: | Psychonomic bulletinreview. 23(4) |
| ISSN: | 1531-5320 |
| Popis: | Developmental change in children's number-line estimation has been thought to reveal a categorical logarithmic-to-linear shift in mental representations of number. Some have claimed that the broad and rapid change in estimation patterns that occurs with corrective feedback provides strong evidence for this shift. However, quantitative models of proportion judgment may provide a better account of children's estimation patterns while also predicting broad and rapid change following feedback. Here we test the hypothesis that local corrective feedback provides children with additional reference points, rather than catalyzing a shift to a different mental representation of number. We tested 117 children from several second-grade classrooms in a number-line feedback study. Data indicate that the proportion-judgment framework accounts for individual differences in estimation patterns, and that the effects of feedback are consistent with the unique quantitative predictions of the framework. They do not provide evidence supporting the representational shift hypothesis or, more broadly, for the proposal that cognitive change can occur rapidly at the level of entire mental representations. |
| Databáze: | OpenAIRE |
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