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Longitudinal data collection to follow social network and language development dynamics at preschool
DyLNet is a large-scale longitudinal social experiment designed to observe the relations between child socialisation and oral language learning at preschool. During three years, a complete preschool in France was followed to record proximity interactions of about 200 children and adults every 5 seco...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780309/ https://www.ncbi.nlm.nih.gov/pubmed/36550122 http://dx.doi.org/10.1038/s41597-022-01756-x |
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author | Dai, Sicheng Bouchet, Hélène Karsai, Márton Chevrot, Jean-Pierre Fleury, Eric Nardy, Aurélie |
author_facet | Dai, Sicheng Bouchet, Hélène Karsai, Márton Chevrot, Jean-Pierre Fleury, Eric Nardy, Aurélie |
author_sort | Dai, Sicheng |
collection | PubMed |
description | DyLNet is a large-scale longitudinal social experiment designed to observe the relations between child socialisation and oral language learning at preschool. During three years, a complete preschool in France was followed to record proximity interactions of about 200 children and adults every 5 seconds using autonomous Radio Frequency Identification Wireless Proximity Sensors. Data was collected monthly with one week-long deployments. In parallel, survey campaigns were carried out to record the socio-demographic and language background of children and their families, and to monitor the linguistic skills of the pupils at regular intervals. From data we inferred real social interactions and distinguished inter- and intra-class interactions in different settings. We share ten weeks of cleaned, pre-processed and reconstructed interaction data recorded over a complete school year, together with two sets of survey data providing details about the pupils’ socio-demographic profile and language development level at the beginning and end of this period. Our dataset may stimulate researchers from several fields to study the simultaneous development of language and social interactions of children. |
format | Online Article Text |
id | pubmed-9780309 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97803092022-12-24 Longitudinal data collection to follow social network and language development dynamics at preschool Dai, Sicheng Bouchet, Hélène Karsai, Márton Chevrot, Jean-Pierre Fleury, Eric Nardy, Aurélie Sci Data Data Descriptor DyLNet is a large-scale longitudinal social experiment designed to observe the relations between child socialisation and oral language learning at preschool. During three years, a complete preschool in France was followed to record proximity interactions of about 200 children and adults every 5 seconds using autonomous Radio Frequency Identification Wireless Proximity Sensors. Data was collected monthly with one week-long deployments. In parallel, survey campaigns were carried out to record the socio-demographic and language background of children and their families, and to monitor the linguistic skills of the pupils at regular intervals. From data we inferred real social interactions and distinguished inter- and intra-class interactions in different settings. We share ten weeks of cleaned, pre-processed and reconstructed interaction data recorded over a complete school year, together with two sets of survey data providing details about the pupils’ socio-demographic profile and language development level at the beginning and end of this period. Our dataset may stimulate researchers from several fields to study the simultaneous development of language and social interactions of children. Nature Publishing Group UK 2022-12-22 /pmc/articles/PMC9780309/ /pubmed/36550122 http://dx.doi.org/10.1038/s41597-022-01756-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Dai, Sicheng Bouchet, Hélène Karsai, Márton Chevrot, Jean-Pierre Fleury, Eric Nardy, Aurélie Longitudinal data collection to follow social network and language development dynamics at preschool |
title | Longitudinal data collection to follow social network and language development dynamics at preschool |
title_full | Longitudinal data collection to follow social network and language development dynamics at preschool |
title_fullStr | Longitudinal data collection to follow social network and language development dynamics at preschool |
title_full_unstemmed | Longitudinal data collection to follow social network and language development dynamics at preschool |
title_short | Longitudinal data collection to follow social network and language development dynamics at preschool |
title_sort | longitudinal data collection to follow social network and language development dynamics at preschool |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780309/ https://www.ncbi.nlm.nih.gov/pubmed/36550122 http://dx.doi.org/10.1038/s41597-022-01756-x |
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