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

Autor/inn/en	Freitas, Fábio; Ribeiro, Jaime; Brandão, Catarina; Reis, Luís Paulo; de Souza, Francislê Neri; Costa, António Pedro
Titel	Learn by Yourself: The Self-Learning Tools for Qualitative Analysis Software Packages
Quelle	In: Digital Education Review, (2017) 32, S.97-117 (21 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2013-9144
Schlagwörter	Qualitative Research; Educational Research; Independent Study; Profiles; Courseware; Research Tools; Computer Assisted Design; Use Studies; Guides; Computer Software Evaluation; Content Analysis; Technology Uses in Education + Suchen Sie Ihr Suchwort? Qualitative Forschung; Bildungsforschung; Pädagogische Forschung; Selbststudium; Charakterisierung; Profilanalyse; Lernsoftware; Forschungsmittel; Benutzerschulung; Handbuch; Leitfaden; Softwareanalyse; Inhaltsanalyse; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen
Abstract	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, and several other types of analysis. This paper focus 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: (1) analyse the self-learning tools of CAQDAS and (2) identify CAQDAS's users learning profile . Six software packages were selected: NVivo, Atlas.ti, Dedoose, webQDA, MAXQDA, and QDA Miner. They were reviewed, taking into account their transversality, language, (self-learning) tools, among other criteria. 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 users towards the self-learning tools that best fit their learning style. (As Provided).
Anmerkungen	Universitat de Barcelona. Passeig de la Vall d'Hebron 171, Edifici Llevant P3, Barcelona, 08035 Spain. e-mail: der@greav.net; Web site: http://greav.ub.edu/der
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01