Reciprocity heightens academic performance in elementary school students.

Academic performance Experimental game theory Nonanonymous social dilemma Peer interaction Primary education Reciprocity

Journal

Heliyon
ISSN: 2405-8440
Titre abrégé: Heliyon
Pays: England
ID NLM: 101672560

Informations de publication

Date de publication:
Dec 2022
Historique:
received: 27 05 2022
revised: 27 07 2022
accepted: 17 11 2022
entrez: 23 12 2022
pubmed: 24 12 2022
medline: 24 12 2022
Statut: epublish

Résumé

Social relationships are pivotal for human beings. Yet, we still lack a complete understanding of the types and conditions of social relationships that facilitate learning among children. Here, we present the results of a study involving 855 elementary school children from 14 different public schools in Chile designed to understand their social learning strategies in classrooms. We mapped students' social relationships using a behavioral experiment-a non-anonymous social dilemma-that allows us to measure cooperation and infer reciprocal and asymmetrical relationships between peers. We implemented the experiment synchronously in each classroom using networked tablets and a friendly user interface to mitigate cognitive barriers and boost students' engagement. Using regression models, we found a positive and significant association between reciprocity and academic performance. This result holds after controlling for class attendance, sex, parents' education, social status, individual cooperative dispositions, and fixed effects per class group. Finally, using a difference-in-difference framework, we found robust evidence that reciprocity heightens academic performance by comparing two consecutive academic semesters. This effect is heterogeneous and is considerably more prominent for the top 20% students experiencing higher levels of reciprocity in their social relationships. We expect these results to inform cooperative learning interventions in elementary education.

Identifiants

pubmed: 36561683
doi: 10.1016/j.heliyon.2022.e11916
pii: S2405-8440(22)03204-2
pmc: PMC9763753
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e11916

Informations de copyright

© 2022 The Author(s).

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Cristian Candia (C)

Data Science Institute, Facultad de Ingeniería, Universidad del Desarrollo, Las Condes, 7610658, Chile.
Northwestern Institute on Complex Systems (NICO), Northwestern University, Evanston, IL 60208, USA.

Melanie Oyarzún (M)

Centro de Investigación en Complejidad Social (CICS), Facultad de Gobierno, Universidad del Desarrollo, Chile.

Victor Landaeta (V)

Data Science Institute, Facultad de Ingeniería, Universidad del Desarrollo, Las Condes, 7610658, Chile.

T Yaikin (T)

Centro de Investigación en Complejidad Social (CICS), Facultad de Gobierno, Universidad del Desarrollo, Chile.

Cecilia Monge (C)

Feedback Communications, Vitacura, Chile.

César Hidalgo (C)

ANITI Chair, University of Toulouse, Toulouse, France.
Alliance Manchester Business School, University of Manchester, Manchester, UK.
School of Engineering and Applied Sciences, Harvard University, USA.

Carlos Rodriguez-Sickert (C)

Centro de Investigación en Complejidad Social (CICS), Facultad de Gobierno, Universidad del Desarrollo, Chile.

Classifications MeSH