Children's Mathematical Learning from Male and Female Intelligent Characters
Abstract
Two studies utilized data from an experiment that examined how preschool-aged children’s (N = 90; 49 girls, 41 boys; Mage = 4.42 years) parasocial interactions (e.g., talking about math) with a same-or opposite-sex unfamiliar intelligent character, and children’s gender-stereotyped toy preferences, impacted their performance on add-1 math problems. A survey of a sub-sample of these children (N = 57; 32 girls, 25 boys; Mage = 4.42) and their mothers also examined the extent to which children’s favorite characters were rated as gender-typed. Children who engaged in more math talk, particularly with an unknown same-sex intelligent character, demonstrated better performance on the math task in the virtual game and in a transfer task with physical objects. Children also reported liking unknown media characters more if the character matched their sex and chose favorite characters who were rated as gender-typed in sex, appearance, and personality traits. The results suggest that children who engage in contingent interactions about math with intelligent characters and who share a salient aspect of identity with children, in this case sex, can facilitate children’s learning of foundational math skills.
Description
Ph.D.
Permanent Link
http://hdl.handle.net/10822/1056025Date Published
2019Subject
Type
Embargo Lift Date
2021-09-16
Publisher
Georgetown University
Extent
148 leaves
Collections
Metadata
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Putnam, Marisa (Georgetown University, 2016)Young girls have been found to perform lower on math tests compared to young boys, and one mechanism that is associated with girls’ lower performance is gender stereotype threat. The multi-threat framework suggests that ...