Propuesta de Aplicación Predictiva de Aprobación de una Asignatura con Flujo Previo a Través de Algoritmos Basados en Software WEKA Para Estudiantes del Ultimo Semestre de la Carrera de Ingeniería en Sistemas Computacionales de la Universidad de Guayaquil
Cargando...
Fecha
2017
Título de la revista
ISSN de la revista
Título del volumen
Editor
Universidad de Guayaquil. Facultad de Ciencias Matematicas y Fisicas. Carrera de Ingenieria en Sistemas Computacionales
Resumen
El presente proyecto tiene como objetivo inferir el rendimiento académico de los estudiantes del octavo semestre de la carrera de Ingeniería en Sistemas Computacionales basándonos en el análisis histórico de las notas académicas obtenidas de acuerdo con el flujo de la asignatura a evaluar. La metodología utilizada en el desarrollo del proyecto consiste en la factibilidad de usar el análisis, estructura y fases que nos permiten realizar la recolección de datos que contiene registros solicitados y extraídos de la base de datos de la Carrera de Ingeniería en Sistemas Computacionales, estos registros fueron obtenidos y brindados en una muestra al azar que corresponde a los registros de las notas académicas de los estudiantes que fueron escogidos en la muestra aleatoria debido a la sensibilidad existente de los datos, los registros de dicha muestra deberán tener una validación de los datos necesaria para el proceso de muestreo. Esta muestra nos permite realizar la selección de los registros que serán necesarios para la evaluación de los datos, que son utilizados para el entrenamiento en donde el software se acoplará a la utilización del proceso que se realizará en el proyecto y el modelo que nos ayudará a elegir el algoritmo para la predicción de los datos, a su vez la verificación de resultados obtenidos. Es importante utilizar la metodología correcta para el desarrollo que se está realizando con los debidos algoritmos para facilitar en la distribución, clasificación y preparación de los datos. Este proyecto contribuye a mejorar el nivel académico de los estudiantes, además permite que los docentes influyan con actividades ayudando a mejorar el promedio a obtener en la materia a evaluar. También servirá como guía para futuras implementaciones de igual similitud, donde se realicen predicciones sobre la aprobación de una o más asignaturas logrado finalizar la malla académica curricular.
This project aims to infer the academic performance of eighth semester students of Computer Engineering based on the historical analysis of the academic notes obtained according to the flow of the subject to be evaluated. The methodology used in the development of the project consists in the feasibility of using the analysis, structure and phases that allow us to perform the data collection that contains requested records and extracted from the database of the faculty , these records were obtained and provided in a random sample corresponding to the records of the students' academic grades that were chosen in the random sample due to the existing sensitivity of the data, the records of that sample must have a validation of the necessary data. This sample allows us to make the selection of the records that will be necessary for the evaluation of the data, which are used for training where the software will be coupled to the utilization of the process that will be carried out in the project and the model that will help us Choose the algorithm for the prediction of the data, turn verification results obtained. It is important to use the correct methodology for the development that is being done with the proper algorithms to facilitate the distribution, classification and preparation of the data. This project contributes to improve the academic level of the students, in addition it allows the teachers to influence with activities helping to improve the average to obtain in the matter to evaluate. It will also serve as a guide for future implementations of similar, where predictions are made on the approval of one or more subjects achieved to finalize the academic curriculum.
This project aims to infer the academic performance of eighth semester students of Computer Engineering based on the historical analysis of the academic notes obtained according to the flow of the subject to be evaluated. The methodology used in the development of the project consists in the feasibility of using the analysis, structure and phases that allow us to perform the data collection that contains requested records and extracted from the database of the faculty , these records were obtained and provided in a random sample corresponding to the records of the students' academic grades that were chosen in the random sample due to the existing sensitivity of the data, the records of that sample must have a validation of the necessary data. This sample allows us to make the selection of the records that will be necessary for the evaluation of the data, which are used for training where the software will be coupled to the utilization of the process that will be carried out in the project and the model that will help us Choose the algorithm for the prediction of the data, turn verification results obtained. It is important to use the correct methodology for the development that is being done with the proper algorithms to facilitate the distribution, classification and preparation of the data. This project contributes to improve the academic level of the students, in addition it allows the teachers to influence with activities helping to improve the average to obtain in the matter to evaluate. It will also serve as a guide for future implementations of similar, where predictions are made on the approval of one or more subjects achieved to finalize the academic curriculum.
Descripción
ADOBE
Palabras clave
Analisis de Datos