Diseño de evaluaciones sumativas para el uso de la inteligencia artificial generativa en el proceso de aprendizaje del análisis de levantamiento de requerimientos

Abstract

This study examined the impact of generative artificial intelligence (GenAI) on the learning process of requirements engineering in software engineering. An experiment was conducted with three groups of students: two of which used GenAI tools to complete their assessments and a third group that performed the same task without technological assistance. The results revealed that students who used GenAI reported a better understanding of the concepts of elicitation, specification, and validation of requirements, as well as greater confidence in the practical application of this knowledge. Additionally, teachers’ evaluations highlighted that the case studies involving GenAI were clearer, more coherent, and better aligned with the learning objectives. However, the study also emphasizes the need for a personalized approach in implementing this technology, as its effectiveness may vary depending on individual differences in learning style and familiarity with technology. These findings suggest that GenAI has the potential to significantly enhance software engineering education, though its integration must be carefully considered to maximize its benefits.