Chapter 9: Beyond replacement: Levels of AI Integration in a qualitative research methodology course based on the PICRAT framework and Bloom’s Taxonomy

This article presents an experience of pedagogical integration of artificial intelligence (AI) in the teaching of qualitative methods in an online doctoral course, using the PICRAT model and Bloom’s Taxonomy as reference frameworks. A single case study was implemented in the course EDUC 7070, with the purpose of strengthening research competencies through the strategic use of AI tools. The intervention was structured in phases—topic delimitation, literature review, interview simulation, qualitative analysis, and proposal writing—articulating pedagogical strategies with progressive levels of technological and cognitive engagement. The findings show that AI can act as a pedagogical mediator by enhancing critical thinking, autonomy, and knowledge production. However, challenges emerged related to ethical considerations, the need for clear policies, and technical support. It is concluded that an intentional and stratified integration of AI fosters the transfer of research practices, provided it is accompanied by pedagogical planning, adequate infrastructure, and faculty development.