Aplicación web para la gestión de la evaluación del desempeño docente por parte del estudiantado y el profesorado
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Universidad de Sancti Spíritus "José Martí Pérez"
Abstract
En la educación superior cubana, la evaluación del desempeño docente es clave para la mejora
continua de la calidad educativa. En la Universidad de Sancti Spíritus "José Martí Pérez"
(UNISS), este proceso se realizaba mediante métodos manuales (guías de observación física), lo
que limitaba el análisis de datos, la retroalimentación bidireccional y la identificación de áreas
de mejora. Este trabajo desarrolla una aplicación web para gestionar integralmente la evaluación
docente, integrando las perspectivas del estudiantado y el profesorado. La solución implementa
roles diferenciados (estudiantes, profesores, jefes de departamento y especialistas), funcionalidades
para evaluaciones anónimas, gestión de indicadores y análisis cualitativo mediante IA
(finiteautomata/beto-sentiment-analysis). Desarrollada con metodología RUP y tecnologías modernas
(Nuxt.js, Express.js, PostgreSQL), la aplicación valida su eficiencia mediante pruebas
técnicas y de usabilidad. Con esta herramienta, se pretende optimizar la evaluación docente,
fomentar la mejora continua mediante retroalimentación estructurada y fortalecer la calidad educativa
en la UNISS, siendo adaptable a otros contextos universitarios
In Cuban higher education, evaluating teaching performance is crucial for continuous improvement of educational quality. At the University of Sancti Spíritus "José Martí Pérez" (UNISS), this process relied on manual methods (physical observation guides), limiting data analysis, bidirectional feedback, and identification of improvement areas. This work develops a web application to comprehensively manage teaching evaluation by integrating perspectives from both students and faculty. The solution implements differentiated roles (students, professors, department heads, and specialists), features for anonymous evaluations, indicator management, and qualitative analysis via AI (finiteautomata/beto-sentiment-analysis). Developed using the RUP methodology and modern technologies (Nuxt.js, Express.js, PostgreSQL), the application validates its efficiency through technical and usability testing. This tool optimizes teaching assessment, fosters continuous improvement through structured feedback, and strengthens educational quality at UNISS, while remaining adaptable to other university contexts.
In Cuban higher education, evaluating teaching performance is crucial for continuous improvement of educational quality. At the University of Sancti Spíritus "José Martí Pérez" (UNISS), this process relied on manual methods (physical observation guides), limiting data analysis, bidirectional feedback, and identification of improvement areas. This work develops a web application to comprehensively manage teaching evaluation by integrating perspectives from both students and faculty. The solution implements differentiated roles (students, professors, department heads, and specialists), features for anonymous evaluations, indicator management, and qualitative analysis via AI (finiteautomata/beto-sentiment-analysis). Developed using the RUP methodology and modern technologies (Nuxt.js, Express.js, PostgreSQL), the application validates its efficiency through technical and usability testing. This tool optimizes teaching assessment, fosters continuous improvement through structured feedback, and strengthens educational quality at UNISS, while remaining adaptable to other university contexts.