Diseño y validación preliminar mediante IA de una propuesta educativa ABP-STEM para abordar la problemática de gestión de residuos en el municipio de El Roble, Sucre

Abstract

This master’s tesis aims to design an educational proposal focused on Project-Based Learning (PBL) and the STEM approach, oriented toward strengthening waste management in the municipality of El Roble, Sucre, as well as to conduct its preliminary validation through Artificial Intelligence (AI). Since educational proposals require prior review before implementation, this research incorporates artificial intelligence as a complementary resource to preliminarily assess the coherence and relevance of the proposal, with the purpose of comparing its results with those obtained from expert judgment. The study arises from the need to address an environmental issue in the territory, related to the low coverage of waste collection services and the inadequate disposal of solid waste, particularly in rural areas of the municipality. In response to this reality, a contextualized educational proposal is presented to connect schools with local needs and to foster meaningful learning, environmental awareness, and community participation among students. The design integrates knowledge from science, technology, engineering, and mathematics to promote the development of essential competencies for both school and higher education. Addressing the geographical access constraints typical of rural settings, the research innovatively incorporates AI as a technological resource running concurrently and parallel to human expert judgment; this allows auditing the coherence and relevance of the construct prior to classroom implementation, thereby safeguarding ethical viability and the academic time of the student community. The expected outcome is to provide a relevant educational model that contributes to comprehensive education and to the strengthening of responsible practices in solid waste management.