Aplicación web con IA generativa para automatizar la creación de cursos e integrar aplicativos institucionales de Santic Education

Abstract

This research aimed to develop a web application with generative artificial intelligence to automate course creation and integrate the institutional applications used by SanTIC Education. The study followed an applied and field research approach, surveys were conducted with teachers, students and administrative staff, together with a structured interview with the administrator. The analysis identified five scattered institutional processes: course creation, enrollment, payment validation, invoicing and student communication. Based on these findings, 12 functional requirements and 7 non-functional requirements were defined. Development was organized using Kanban and resulted in a platform with 21 modules or processes, including assisted generation of courses, assignments, forums and images under human review. The solution integrated Moodle, Dátil, PayPal, email and OpenAI API, linking user, course, enrollment, payment, invoice and academic access within a single workflow. Black-box testing achieved compliance in all 22 applied test cases and verified all 19 defined requirements, equivalent to 100% within the evaluated scope. It is concluded that the platform centralizes academic and administrative processes, maintains institutional traceability and preserves human control over generated content. Periodic monitoring of external integrations and academic review before saving or synchronizing AI-generated content are recommended.