Desarrollo de un sistema de predicción académica utilizando un chatbot como asistente virtual para dar reportes y recomendaciones en función de las notas de los estudiantes de la unidad educativa Gustavo Adolfo Bécquer de la ciudad de Cayambe

Abstract

Abstract: The objective of this Degree Work is to develop a simple model of automated communication through a Facebook Messenger chatbot, called GUSTAbot. It is intended for users interested in knowing the academic performance of students. GUSTAbot defines three user profiles, Parent, teacher and Manager, through the use of messages interact with the bot to obtain specific information. The Parent will be informed of the Risk Factor. On the other hand, you can request the Predictive Analysis through neural networks of the students of how likely it is that you will lose the academic period in the Subjects. The Teaching profile on the other hand, may at any time request the list of students with their respective Risk Factor, as well as review the list of students with the Predictive Analysis through Neural Networks. On the other hand, you can review the teaching agenda that will allow you to schedule each academic activity of your students. The Executive profile on the other hand, may generate reports of teachers and students of the Educational Institution.