Analysis of the integration of generative Artificial Intelligence in the process of creating textual and visual narratives. A case study

Abstract

This paper presents an investigation conducted during the learning of content related to visual and plastic language, introducing the methodological variant of two emerging technologies based on AI Generative. The main objective is to analyze the processes carried out, to check whether generative AI is consistent enough to be integrated into learning processes. The research has been carried out from the paradigm of qualitative analysis of 22 samples and 97 participants, organized in groups, approached through a case analysis resulting from data collection while structured actions are performed. Coding and analysis of verbalization were performed using ATLAS.ti and quantitative analysis using Jamovi. The main result has been significant progress in taking a critical stance, both in the process of writing and image-making, although it is understood that the Generative AI used does not always produce acceptable results, which reinforces the interventions from premises of creative elaboration based on reasoning, planning, flexibility and decision making. The main conclusion is that the use of Generative AI, integrated into a process ecosystem, is very positive, given that, at the pedagogical level, it has fostered deep analysis and reflection for creative problem-solving. The importance of documenting the learning processes carried out has also been highlighted.