Survey data on Families' perceptions of ed-tech corporations, educational digital platforms and children's rights

This data article describes the dataset of the project 'edDIT: Technological corporations, digital educational platforms and guarantee of children's rights with a gender approach'. This study has analysed the impact of the use of corporate digital platforms in public schools in Catalo...

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Detalles Bibliográficos
Autores: Moreno-González, Ainara, Calderón, Diego, Parcerisa, Lluís, Rivera Vargas, Pablo, Jacovkis Halperin, Judith
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/195848
Acceso en línea:https://hdl.handle.net/2445/195848
Access Level:acceso abierto
Palabra clave:Tecnologia educativa
Escoles públiques
Drets dels infants
Enquestes a internet
Catalunya
Educational technology
Public schools
Children's rights
Online surveys
Catalonia
Descripción
Sumario:This data article describes the dataset of the project 'edDIT: Technological corporations, digital educational platforms and guarantee of children's rights with a gender approach'. This study has analysed the impact of the use of corporate digital platforms in public schools in Catalonia. A series of data were collected through an online survey, with a total sample of 2347 parents/caregivers. The description of the data contained in this article is divided into two main parts. The first one is a descriptive analysis of all the items included in the survey and has been carried out using tables and figures. The second one refers to the construction of scales. Three scales were constructed and included in the data set: 'Opinions about Educational Digital Platforms', 'Concerns about the use of the data generated on the utilisation of the digital platform' and 'Parental Engagement'. The scales were created using Confirmatory Factor Analysis (CFA) and Multigroup Confirmatory Analysis (MG-CFA). This dataset will be relevant for researchers in different fields, in particular for those interested in digital inclusion public policies and educational policies.