文章基本信息

标题：Avaliação de Desempenho de Estudantes em Cursos de Educação a Distância Utilizando Mineração de Dados
本地全文：下载
作者：Ernani Gottardo ; Celso Kaestner ; Robinson Vida Noronha 等
期刊名称：Anais do Workshop de Desafios da Computação Aplicada à Educação
出版年度：2012
卷号：0
期号：0
页码：30-39
语种：Portuguese
出版社：Anais do Workshop de Desafios da Computação Aplicada à Educação
摘要：For development of distance learning courses, using a Learning Management System (LMS) has become essential. These environments store large volumes of data about activities developed by students. These data can be used in conjunction with Data Mining techniques to discover information to help teachers in managing the learning process. In this work we propose to define a broad and generalized set of attributes to be used to make inferences regarding the performance of students. Experiments have shown the feasibility of this proposal, reaching rates of 76% accuracy in predicting performance
其他摘要：For development of distance learning courses, using a Learning Management System (LMS) has become essential. These environments store large volumes of data about activities developed by students. These data can be used in conjunction with Data Mining techniques to discover information to help teachers in managing the learning process. In this work we propose to define a broad and generalized set of attributes to be used to make inferences regarding the performance of students. Experiments have shown the feasibility of this proposal, reaching rates of 76% accuracy in predicting performance