Literature DB >> 26143092

Does a peer model's task proficiency influence children's solution choice and innovation?

Lara A Wood1, Rachel L Kendal2, Emma G Flynn3.   

Abstract

The current study investigated whether 4- to 6-year-old children's task solution choice was influenced by the past proficiency of familiar peer models and the children's personal prior task experience. Peer past proficiency was established through behavioral assessments of interactions with novel tasks alongside peer and teacher predictions of each child's proficiency. Based on these assessments, one peer model with high past proficiency and one age-, sex-, dominance-, and popularity-matched peer model with lower past proficiency were trained to remove a capsule using alternative solutions from a three-solution artificial fruit task. Video demonstrations of the models were shown to children after they had either a personal successful interaction or no interaction with the task. In general, there was not a strong bias toward the high past-proficiency model, perhaps due to a motivation to acquire multiple methods and the salience of other transmission biases. However, there was some evidence of a model-based past-proficiency bias; when the high past-proficiency peer matched the participants' original solution, there was increased use of that solution, whereas if the high past-proficiency peer demonstrated an alternative solution, there was increased use of the alternative social solution and novel solutions. Thus, model proficiency influenced innovation.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Canalization; Innovation; Proficiency; Social learning; Transmission biases; Trust

Mesh:

Year:  2015        PMID: 26143092     DOI: 10.1016/j.jecp.2015.06.003

Source DB:  PubMed          Journal:  J Exp Child Psychol        ISSN: 0022-0965


  4 in total

1.  Do Children Copy an Expert or a Majority? Examining Selective Learning in Instrumental and Normative Contexts.

Authors:  Emily R R Burdett; Amanda J Lucas; Daphna Buchsbaum; Nicola McGuigan; Lara A Wood; Andrew Whiten
Journal:  PLoS One       Date:  2016-10-21       Impact factor: 3.240

2.  Strategies for integrating disparate social information.

Authors:  Lucas Molleman; Alan N Tump; Andrea Gradassi; Stefan Herzog; Bertrand Jayles; Ralf H J M Kurvers; Wouter van den Bos
Journal:  Proc Biol Sci       Date:  2020-11-25       Impact factor: 5.349

3.  Technical reasoning bolsters cumulative technological culture through convergent transformations.

Authors:  François Osiurak; Nicolas Claidière; Alexandre Bluet; Joël Brogniart; Salomé Lasserre; Timothé Bonhoure; Laura Di Rollo; Néo Gorry; Yohann Polette; Alix Saude; Giovanni Federico; Natalie Uomini; Emanuelle Reynaud
Journal:  Sci Adv       Date:  2022-03-02       Impact factor: 14.136

4.  Cognitive flexibility supports the development of cumulative cultural learning in children.

Authors:  Sarah Davis; Bruce Rawlings; Jennifer M Clegg; Daniel Ikejimba; Rachel E Watson-Jones; Andrew Whiten; Cristine H Legare
Journal:  Sci Rep       Date:  2022-08-18       Impact factor: 4.996

  4 in total

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