Design of a research training methodology for computer engineering students (FINVE+C)

This research project focuses on addressing the issue of low completion rates for graduation proposals among Computer Engineering students, partly caused by the lack of an adequate research training methodology and tutoring management. The main objective is to design and implement a research training methodology, named FINVE+C, structured in short-term methodological phases, with didactic and pedagogical support, to guide students in producing a publishable article. The methodology used is empirical-analytical, longitudinal, and quantitative, involving five phases ranging from searching for relevant information (using databases like Web of Science) to the dissemination of the final product. Tools such as Qualtrics, Google Forms, and Microsoft Forms will be used for data collection, and Python algorithms for analysis. It is expected that this methodology, once evaluated, will become a replicable model for other degree programs nationally and internationally, fostering a culture of rigorous and creative research among engineering students.<br/><br/><b>Goal</b>: <br/>To determine a training model in the research process for final-year students in Computer Engineering through the development of a set of short-term methodological phases.<br/><br/><b>Research lines</b>: <br/>Evaluative research of education and innovation processes