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Child Development
Article . 2020 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Child Development
Article
License: CC BY NC ND
Data sources: UnpayWall
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PubMed Central
Article . 2019
Data sources: PubMed Central
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Young Children’s Mathematical Learning From Intelligent Characters

Authors: Sandra L Calvert; Marisa M Putnam; Naomi R Aguiar; Rebecca M Ryan; Charlotte A Wright; Yi Hui Angella Liu; Evan Barba;

Young Children’s Mathematical Learning From Intelligent Characters

Abstract

Abstract Children’s math learning (N = 217; Mage = 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.

Keywords

Empirical Articles, Male, Cartoons as Topic, Language Tests, Communication, Intelligence, Friends, Object Attachment, Play and Playthings, User-Computer Interface, Child Development, Video Games, Child, Preschool, Feasibility Studies, Humans, Learning, Female, Interpersonal Relations, Child, Comprehension, Mathematics

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
37
Top 10%
Top 10%
Top 10%
Green
hybrid