Desarrollo de un sistema de juego trivia multijugador con integración API de inteligencia artificial para la generación dinámica de preguntas clasificadas

Abstract

The present research addresses the problem related to low motivation and participation among university students in teaching–learning processes, especially in digital contexts where traditional and minimally interactive methodologies prevail. This situation highlights the need to incorporate pedagogical strategies supported by emerging technologies that promote active learning. In this context, the objective of the study was to develop a multiplayer trivia-based game system that integrates gamification and artificial intelligence to facilitate the interactive study of academic content derived from PDF documents. The applied methodology was based on an agile development approach using the SCRUM methodology, enabling an iterative and incremental implementation of the system. The adopted architecture followed a client–server model, integrating technologies such as Python, React, SQL Server, and real-time communication through WebSockets, in addition to the use of an artificial intelligence API for the automatic generation of questions. To validate the system, a Likert-scale survey was administered to a pilot group of university students. The results obtained showed a highly positive evaluation across all assessed dimensions, with average scores above 4.8 out of 5 and 100% favorable responses. These findings confirm that the application is functional, intuitive, and useful as a learning support tool, while also providing a motivating experience through game dynamics and immediate feedback. In conclusion, the developed system proves to be a viable and innovative technological tool for strengthening educational processes in higher education.