Doctoral research requires transforming heterogeneous evidence into defensible interpretations and decisions. In educational sciences this includes qualitative interpretation of interviews, documents and open responses, as well as quantitative analysis of survey, assessment and observational data. Generative AI can accelerate coding, summarization and exploratory pattern detection, but it also introduces epistemic, privacy, bias and reproducibility risks. The seminar therefore combines methodological foundations with hands-on use of free/open tools, emphasizing human judgment, audit trails, uncertainty, transparency and ethical AI use.
- Docente: Jesus Insuasti