Interlocutions between qualitative content analysis and webQDA data software in educational research

The article presents a theoretical-methodological approach to qualitative research in education, of the descriptive-interpretative type, and the possible interlocutions between Qualitative Content Analysis and the Qualitative Data Analysis Software webQDA. The memorials and reports of pedagogues wor...

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Detalles Bibliográficos
Autores: Cruz, Denise Santos da, Rocha-Veiga, Adriana Moreira da, Caetano, Luis Miguel Dias
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:Brasil
Institución:Universidade Estadual Paulista (UNESP)
Repositorio:Revista Ibero-Americana de Estudos em Educação (Online)
Idioma:portugués
español
inglés
OAI Identifier:oai:ojs.pkp.sfu.ca:article/16804
Acceso en línea:https://periodicos.fclar.unesp.br/iberoamericana/article/view/16804
Access Level:acceso abierto
Palabra clave:Investigación educativa
Análisis de contenido
Software webQDA
Pesquisa em educação
Análise de conteúdo
Descripción
Sumario:The article presents a theoretical-methodological approach to qualitative research in education, of the descriptive-interpretative type, and the possible interlocutions between Qualitative Content Analysis and the Qualitative Data Analysis Software webQDA. The memorials and reports of pedagogues working in public schools of Early Childhood Education and Early Years of Elementary School were analyzed, from the Freirean perspective, the experience of the self in Jorge Larrosa and the (self) formation in Marie-Christine Josso. The concepts of Content Analysis (BARDIN, 2016) and the webQDA Qualitative Data Analysis Software are presented, as well as the approximation points between the two methods of qualitative data analysis. In the end, it is described how the application of these methods contributed to the researchers' work, stimulating other pairs, so that research in education can advance towards the use of qualitative information analysis technologies to facilitate the construction of the research corpus.