Chatbot de predicción y recomendación de títulos universitarios con IA
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Publication date
2022
Defense date
23/09/2022
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RESUMEN: Los altos índices de fracaso escolar en nuestro sistema educativo se repiten cada año y apuntan a la necesidad de replantear nuestra atención y metodología, lo cual puede suponer, en muchos casos, el requerimiento de más personal especializado en las instituciones educativas. De esta forma, existe un gran número de estudiantes que se encuentran desatendidos o confundidos por la escasez de información recibida. Sin embargo, resulta ser un problema que engloba a multitud de etapas educativas, cada una con su propio contexto generacional. Así es que en este estudio nos centramos en aquellos alumnos y alumnas de Bachillerato, quienes están ante una de las decisiones más importantes, la cual puede definir su futura vida laboral: la entrada a un grado universitario. De esta forma, el presente estudio busca desarrollar una herramienta que de forma automatizada dé respuesta a actividades de orientación académica y vocacional, por lo que se propone un «chatbot» de predicción y recomendación de grados universitarios sujeto a Inteligencia Artificial. Como resultado del proyecto, se expone el recorrido completo de una proposición de análisis, desarrollo y prueba real de un asistente conversacional implementado en Telegram y desplegado desde la nube, en el que para su construcción se afrontan tareas de análisis de datos, procesamiento del lenguaje natural y aprendizaje automático. Todo ello de forma nativa y siguiendo la filosofía de «software» libre. Al finalizar todo el proceso, se concluye que el «chatbot» puede resultar un útil instrumento de agitación y exploración de las inquietudes personales de los estudiantes, siendo un posible complemento de iniciación al proceso orientativo en las instituciones educativas, así como una herramienta que puede favorecer el análisis de datos sobre las pretensiones de los estudiantes con el fin de que los centros educativos y las universidades puedan adaptar su atención y oferta educativa.
ABSTRACT: The high rates of school failure in our educational system are repeated every year and point to the need to rethink our attention and methodology, which may mean, in many cases, the need for more specialised staff in educational institutions. In this way, there is a large number of students who find themselves neglected or confused by the scarcity of information received. However, it is a problem that encompasses a multitude of educational stages, each with its own generational context. Thus, in this study, we focus on those students in the Baccalaureate, who are facing one of the most important decisions, which may define their future working life: the entrance to a university degree. In this way, this study seeks to develop a tool that automatically responds to academic and vocational guidance activities, so we propose a chatbot for the prediction and recommendation of university degrees subject to Artificial Intelligence. As a result of the project, a complete analysis, development and real test of a conversational assistant implemented in Telegram and deployed from the cloud is presented, in which data analysis, natural language processing and machine learning tasks are tackled for its construction. All of this is done natively and following the open source philosophy. At the end of the whole process, it is concluded that the chatbot can be a useful tool for agitation and exploration of students’ personal concerns, being a possible complement to initiate the guidance process in educational institutions, as well as a tool that can favour the analysis of data on students’ expectations so that educational centres and universities can adapt their attention and educational offer.
ABSTRACT: The high rates of school failure in our educational system are repeated every year and point to the need to rethink our attention and methodology, which may mean, in many cases, the need for more specialised staff in educational institutions. In this way, there is a large number of students who find themselves neglected or confused by the scarcity of information received. However, it is a problem that encompasses a multitude of educational stages, each with its own generational context. Thus, in this study, we focus on those students in the Baccalaureate, who are facing one of the most important decisions, which may define their future working life: the entrance to a university degree. In this way, this study seeks to develop a tool that automatically responds to academic and vocational guidance activities, so we propose a chatbot for the prediction and recommendation of university degrees subject to Artificial Intelligence. As a result of the project, a complete analysis, development and real test of a conversational assistant implemented in Telegram and deployed from the cloud is presented, in which data analysis, natural language processing and machine learning tasks are tackled for its construction. All of this is done natively and following the open source philosophy. At the end of the whole process, it is concluded that the chatbot can be a useful tool for agitation and exploration of students’ personal concerns, being a possible complement to initiate the guidance process in educational institutions, as well as a tool that can favour the analysis of data on students’ expectations so that educational centres and universities can adapt their attention and educational offer.