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Young Children’s Mathematical Learning From Intelligent Characters

Children’s math learning (N = 217; M (age) = 4.87 years; 63% European American, 96% college‐educated families) from an intelligent character game was examined via social meaningfulness (parasocial relationships [PSRs]) and social contingency (parasocial interactions, e.g., math talk). In three studi...

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Detalles Bibliográficos
Autores principales: Calvert, Sandra L., Putnam, Marisa M., Aguiar, Naomi R., Ryan, Rebecca M., Wright, Charlotte A., Liu, Yi Hui Angella, Barba, Evan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818392/
https://www.ncbi.nlm.nih.gov/pubmed/31745971
http://dx.doi.org/10.1111/cdev.13341
Descripción
Sumario:Children’s math learning (N = 217; M (age) = 4.87 years; 63% European American, 96% college‐educated families) from an intelligent character game was examined via social meaningfulness (parasocial relationships [PSRs]) and social contingency (parasocial interactions, e.g., math talk). In three studies (data collected in the DC area: 12/2015–10/2017), children’s parasocial relationships and math talk with the intelligent character predicted quicker, more accurate math responses during virtual game play. Children performed better on a math transfer task with physical objects when exposed to an embodied character (Study 2), and when the character used socially contingent replies, which was mediated by math talk (Study 3). Results suggest that children’s parasocial relationships and parasocial interactions with intelligent characters provide new frontiers for 21st century learning.