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Causal learning is collaborative: Examining explanation and exploration in social contexts

Overview of attention for article published in Psychonomic Bulletin & Review, July 2017
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Title
Causal learning is collaborative: Examining explanation and exploration in social contexts
Published in
Psychonomic Bulletin & Review, July 2017
DOI 10.3758/s13423-017-1351-3
Pubmed ID
Authors

Cristine H. Legare, David M. Sobel, Maureen Callanan

Abstract

Causal learning in childhood is a dynamic and collaborative process of explanation and exploration within complex physical and social environments. Understanding how children learn causal knowledge requires examining how they update beliefs about the world given novel information and studying the processes by which children learn in collaboration with caregivers, educators, and peers. The objective of this article is to review evidence for how children learn causal knowledge by explaining and exploring in collaboration with others. We review three examples of causal learning in social contexts, which elucidate how interaction with others influences causal learning. First, we consider children's explanation-seeking behaviors in the form of "why" questions. Second, we examine parents' elaboration of meaning about causal relations. Finally, we consider parents' interactive styles with children during free play, which constrains how children explore. We propose that the best way to understand children's causal learning in social context is to combine results from laboratory and natural interactive informal learning environments.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 112 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 21%
Student > Master 12 11%
Student > Bachelor 10 9%
Student > Doctoral Student 9 8%
Researcher 8 7%
Other 20 18%
Unknown 29 26%
Readers by discipline Count As %
Psychology 44 39%
Social Sciences 12 11%
Arts and Humanities 5 4%
Linguistics 4 4%
Computer Science 2 2%
Other 9 8%
Unknown 36 32%