89 research outputs found
Low dose of lenalidmide and PI3K/mTOR inhibitor trigger synergistic cytoxicity in activated B cell-like subtype of diffuse large B cell lymphoma
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Effects on word learning from spacing and category variability
Not all categories are made the same. Some categories have high within-category variability (e.g., “vehicles” can look very different) and some have low within-category variability (e.g., “apples” are pretty similar). Categories can also vary on their between-category variability where some categories are very similar to each other (e.g., “apples” and “oranges”) and some are very different (e.g., “apples” and “vehicles”). Studies have found that categories with high within and between variability are learned best in massed formats, and categories with low within and between variability are learned best in interleaved formats. However, the unique contribution of each of these kinds of variability (i.e., within and between) have not been studied independently. These studies investigate the unique contribution of within- and between-category variability to 3-year-old children’s word learning in interleaved and massed presentations. The results inform existing understanding of interleaving in word learning and how category variability impacts learning
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One versus many: Multiple examples in word learning.
A large body of research indicates that children can map words to categories and generalize the label to new instances of the category after hearing a single instance of the category labeled. Additional research demonstrates that word learning is enhanced when children are presented with multiple instances of a category through comparison or contrast. In this study, 3-year-old children participated in a novel noun generalization task in which a label was given for either (a) a single instance of a category, (b) multiple instances of a category, or (c) contrasting a category instance with non-category members. Children were asked to extend the label to a new category at test either immediately (Study 1) or after a 10-s delay (Study 2). The results indicate that when tested immediately, children who heard a single instance labeled outperformed children who were presented with multiple instances. However, when tested after a brief delay, there was no difference among the conditions
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Sorting out emotions: How labels influence emotion categorization.
The ability to categorize emotions has long-term implications for children's social and emotional development. Therefore, identifying factors that influence early emotion categorization is of great importance. Yet, whether and how language impacts emotion category development is still widely debated. The present study aimed to assess how labels influence young children's ability to group faces into emotion categories for both earliest-learned and later-learned emotion categories. Across two studies, 128 two- and 3-year-olds (77 female; Mean age = 3.04 years; 35.9% White, 12.5% Multiple ethnicities or races, 6.3% Asian, 3.1% Black, and 42.2% not reported) were presented with three emotion categories (Study 1 = happy, sad, angry; Study 2 = surprised, disgusted, afraid). Children sorted 30 images of adults posing stereotypical facial expressions into one of the three categories. Children were randomly assigned to either hear the emotion labels before sorting (e.g., "happy faces go here") or were not given labels (e.g., "faces like this go here"). Study 1 results indicated no significant effects of labels for earlier-learned emotion categories, F(1, 60) = .94, p = .337, ηp² = .013. However, the Study 2 results revealed that labels improved emotion categorization for later-learned categories, F(1, 60) = 8.15, p = .006, ηp² = .024. Taken together, these results suggest that labels are important for emotion categorization, but the impact of labels may depend on children's familiarity with the emotion category. (PsycInfo Database Record (c) 2022 APA, all rights reserved)
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