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Do people use category-learning judgments to regulate their learning of natural categories?

Overview of attention for article published in Memory & Cognition, July 2017
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Title
Do people use category-learning judgments to regulate their learning of natural categories?
Published in
Memory & Cognition, July 2017
DOI 10.3758/s13421-017-0729-9
Pubmed ID
Authors

Kayla Morehead, John Dunlosky, Nathaniel L. Foster

Abstract

Although research has established that people can accurately judge how well they have learned categories, no research has examined whether people use their category-learning judgments (CLJs) to regulate their restudy of natural categories. Thus, in five experiments we investigated the relationship between people's CLJs and selections of categories for restudy. Participants first attempted to learn natural categories (bird families; e.g., finches, grosbeaks, and warblers) so that they could categorize new exemplars on a final test. After this initial study phase, participants made a CLJ for each category and then selected a subset of the categories for restudy. Across experiments, we also manipulated several variables (e.g., selecting either three or nine categories, or obtaining 30% vs. 80% performance on the final test) that were expected to influence restudy selections. However, the manipulations typically had minimal impact. More important, in all experiments we found an unexpected outcome: Some participants tended to select the categories they judged to be most well learned for restudy, and others tended to select those judged to be least well learned. We discovered these qualitative differences in the use of CLJs to make restudy selections by using post-hoc analyses in Experiments 1a and 1b, and hence we sought to (a) replicate them in Experiments 2, 3, and 4 and (b) provide preliminary evidence regarding factors that can (vs. cannot) account for them. Most important, evidence across all of the experiments supported the conclusion that people do use their CLJs to select categories for restudy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Professor 3 12%
Student > Ph. D. Student 3 12%
Researcher 3 12%
Student > Bachelor 2 8%
Student > Master 2 8%
Other 6 23%
Unknown 7 27%
Readers by discipline Count As %
Psychology 12 46%
Social Sciences 2 8%
Philosophy 1 4%
Agricultural and Biological Sciences 1 4%
Mathematics 1 4%
Other 2 8%
Unknown 7 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 October 2017.
All research outputs
#18,565,641
of 22,994,508 outputs
Outputs from Memory & Cognition
#1,373
of 1,570 outputs
Outputs of similar age
#239,174
of 312,383 outputs
Outputs of similar age from Memory & Cognition
#17
of 28 outputs
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