Representación semántica de factores de deserción estudiantil

Abstract

Abstract: This thesis explores the semantic representation of student dropout factors, a challenge in the educational field with profound consequences at both the individual and societal levels. The project focuses on researching and conceptualizing the factors associated with student dropout using semantic technologies. Through an extensive literature review, the main factors of student dropout are identified, and the semantic tools available for analyzing educational data are explored. The sources of information relevant to the study of student dropout are then specified and analyzed, assessing their quality and relevance for the semantic analysis of academic dropout factors. Using semantic representation techniques, a conceptual model is developed that integrates the identified variables, capturing the complex relationships between the different dropout factors. Finally, the developed semantic model is evaluated using validation and data mapping tools to verify its ability to accurately and comprehensively predict student dropout risk.