Chatbot para brindar alertas y estrategias de mitigación de deserción estudiantil usando IA generativa y la arquitectura en la nube

Abstract

Abstract: The main goal of this technological proposal was to develop a chatbot aimed at providing strategies to mitigate student dropout rates through the use of generative artificial intelligence and cloud architecture. This system is aimed at the directors of the Information Technology program at UTPL and allows for the early identification of at-risk students based on the analysis of academic data. The chatbot is designed to generate prompt alerts and offer personalized strategies for a student's risk level, determined based on their academic history, with the aim of supporting decision-making by university authorities. The project was developed using tools offered by Google Cloud Platform, which enabled the construction of the chatbot, data analysis, and prediction of potential dropout rates. Additionally, an agile Scrum method was applied, which helped with iterative work, continuous delivery of progress, and periodic feedback for application improvement. The implementation of this solution is a significant contribution to preventing student dropouts, promoting retention and academic success through the use of technology.