Abstract
The presence of specialized software is becoming more and more intertwined with the procedures of data analysis in qualitative surveys. Therefore, the guiding question of this text was: In what way can the software analysis of qualitative data, IRAMUTEQ, contribute to the process of Discursive Textual Analysis? The topic was focused on technology in the context of the classroom. The objective was to identify analytical possibilities existing in the relationship between the IRAMUTEQ software and the method of Discursive Textual Analysis, with a view to the emergence of new interpretative pathways using technology in the classroom. The participants, subjects, were teachers joining the post-graduate degree (n = 40). The data collection instrument was an open questionnaire. The method for analyzing the data was Discursive Textual Analysis, in conjunction with an exploratory analyses using the IRAMUTEQ software. The software identified five textual classes based on the corpus of analysis, which in turn resulted in three definitive categories: (i) technologies for increased understanding between teachers and students; (ii) technologies to modify teaching practice; and (iii) technology for changes in school. Lastly, it is confirmed that the IRAMUTEQ software contributes to the methodological process of Discursive Textual Analysis, offering agility, new perspectives and rigour to qualitative textual data analysis.
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- 1.
Created by Guido van Rossum in 1991, with the aim of being a language programming that produces agile maintenance codes. For more information, access: www.python.org.
- 2.
All analyses in the IRAMUTEQ software was performed in the Portuguese language. It is fundamental, since the subjects of the research are Brazilian teachers and the method of Discursive Textual Analysis is based on the interpretation, including that which is not is not said.
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CAPES – Coordenação de Aperfeiçoamento de Pessoas de Nível Superior, Brazil: for awarding a post-doctoral grant to the third author.
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Ramos, M.G., do Rosário Lima, V.M., Amaral-Rosa, M.P. (2019). IRAMUTEQ Software and Discursive Textual Analysis: Interpretive Possibilities. In: Costa, A., Reis, L., Moreira, A. (eds) Computer Supported Qualitative Research. WCQR 2018. Advances in Intelligent Systems and Computing, vol 861. Springer, Cham. https://doi.org/10.1007/978-3-030-01406-3_6
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