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Dialogical Thematic Analysis of Conversation in Tutors Forums Online

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Computer Supported Qualitative Research (WCQR 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 861))

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Abstract

This article presents the technique of Dialogic Thematic Analysis of the Conversation as a method of analysis of four topics of a forum specially created for research purposes in a virtual learning environment and aims to analyze the concepts of self-positioning, the identification and the identity of the tutors in graduate course, through dialogic interactions. The dialogue between these three concepts will allow us to identify the tutors’ perceptions about the competences required by the new learning culture resulting from the development of digital technologies that modify the traditional roles of the teacher. The Dialogic Thematic Analysis is presented as a method of verbal data analysis in qualitative researches and is structured according to the following procedures: the transcription of the interviews; the definition of the analytical unit; intensive reading of transcribed material; the organization of statements in themes and subtopics (analysis of recurrences, relationships and similarities of meanings in statements); and the elaboration and analysis of semiotic maps. According to the presuppositions of the Bakhtinian dialogism, in the dialogical thematic analysis the enunciations are taken as analytical units. In the case of the forum, object of this research, we analyze the enunciations understanding them as the slogans, topic proposed by the researcher to start a discussion in the forum as well as the answers and/or propositions of the others. In this way, according to the principle of responsiveness we identify and analyze the positions of the self through the alternation of the speakers.

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Correspondence to Claristina Borges da Silva .

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Borges da Silva, C. (2019). Dialogical Thematic Analysis of Conversation in Tutors Forums Online. 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_21

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  • DOI: https://doi.org/10.1007/978-3-030-01406-3_21

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