Idioma:

Learn for Yourself: The Self-Learning Tools for Qualitative Analysis Software Packages

Freitas, Fábio ; Ribeiro, Jaime ; Brandao, Catarina ; Reis, Luís Paulo ; Neri de Souza, Francisle

Digital education review, 2017-12 (32), p.97-117 [Periódico revisado por pares]

Barcelona: Universitat de Barcelona

Texto completo disponível

Citações Citado por

Enviar para

Título:
Learn for Yourself: The Self-Learning Tools for Qualitative Analysis Software Packages
Autor: Freitas, Fábio ; Ribeiro, Jaime ; Brandao, Catarina ; Reis, Luís Paulo ; Neri de Souza, Francisle
Assuntos: CAQDAS ; Computer Assisted Design ; Computer Assisted Qualitative Data Analysis Software ; Computer Software Evaluation ; Content Analysis ; Courseware ; Education and CAQDAS ; Educational Research ; Guides ; Independent Study ; learning ; Profiles ; Qualitative Research ; Research Tools ; Self ; Software packages ; Technology Uses in Education ; Use Studies
É parte de: Digital education review, 2017-12 (32), p.97-117
Descrição: Computer Assisted Qualitative Data Analysis Software (CAQDAS) are tools that help researchers to develop qualitative research projects. These software packages help the users with tasks such as transcription analysis, coding and text interpretation, writing and annotation, content search and analysis, recursive abstraction, grounded theory methodology, discourse analysis, data mapping, among several other types of analysis. This paper analyses the new paradigm of self-learning that presents itself increasingly as a competence to support learning in a proactive way. It further analyses education and CAQDAS with emphasis on the use of CAQDAS in educational research and the self-learning of CAQDAS. The study conducted had two main goals: analyse the self-learning tools of CAQDAS and identify CAQDAS's users profile regarding learning. Six software packages were selected: NVivo, Atlas.ti, Dedoose, webQDA, MAXQDA, and QDA Miner. They were then reviewed, taking into account their transversality, language, (self-learning) tools, among several other factors. The results show that there is a considerable demand for information from users regarding the execution of processes in CAQDAS, and that the packages analysed do not guide the user towards the self-learning tools that best fit their learning style.
Editor: Barcelona: Universitat de Barcelona
Idioma: Catalão;Inglês

Links

View record in ERIC

Voltar para lista de resultados

Realização: Logos de Redes Sociais:

Learn for Yourself: The Self-Learning Tools for Qualitative Analysis Software Packages

Freitas, Fábio ; Ribeiro, Jaime ; Brandao, Catarina ; Reis, Luís Paulo ; Neri de Souza, Francisle

Barcelona: Universitat de Barcelona

Buscando em bases de dados remotas. Favor aguardar.