CAQDAS, and Artificial Intelligence: New Challenges and Possibilities for Teaching Qualitative Data Coding
DOI:
https://doi.org/10.20453/spirat.v3iNE1.5579Keywords:
CAQDAS, artificial intelligence, coding, grounded theoryAbstract
The research evaluates the value and power of an AI tool such as Chat GPT as CAQDAS (Computer-Aided Qualitative Data Analysis Software) An experiment carried out using version 4.0 of the application is presented, using it as a standalone tool, even though traditional CAQDAS programs, such as ATLAS ti already announce a collaboration interface with Chat GPT. The focus is on the function of Open Coding, as one of the initial stages of the processing of qualitative material (and one of the most tiring) according to the original proposal of the Grounded Theory (GT) and which was adopted, due to their usefulness, for various other less canonical forms of qualitative analysis. An experiment is conducted with a sample of qualitative material associated with news related to migration issues. From this, through an inductive exercise facilitated by AI, a set of codes is obtained to give way to more complex instances of the analytical process (Axial Coding, Theoretical Elaboration, etc.). The existing potential in the use of the computational tool is revealed, in terms of power for a first (proposal) of Open Coding with optimization of human resources and time.
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Copyright (c) 2025 Nelson Paulus S., Byron Duhalde V.
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