Impact of the integration of Artificial Intelligence tools in the elaboration of Master's theses

Introduction: The study presents the development and validation of a model of research skills based on artificial intelligence oriented to facilitate the elaboration of master's theses in the Postgraduate Program of the Public University of El Alto (UPEA). Method: The research was conducted under a qualitative-quantitative approach at an explanatory level using a quasi-experimental design. The effectiveness of the intervention was evaluated in two phases: one was quantitative, through the application of standardized questionnaires at pre- and post-intervention moments, and the second corresponded to the qualitative, through the Delphi method with a panel of experts. Results: The quantitative findings demonstrated significant improvements in key areas such as problem formulation, information search and organization, and structuring of the theoretical framework, while the qualitative analysis highlighted the effective integration of methods and the importance of the ethical and responsible use of artificial intelligence. Conclusions: The combination of both techniques provided a comprehensive perspective of the research process, demonstrating that the incorporation of artificial intelligence tools not only optimizes efficiency and accuracy in thesis writing, but also strengthens students' critical and analytical skills that are necessary to meet the challenges of knowledge generation in the digital era.