Title :
A support system for classification of students approved/disapproved in virtual environments for distance learning
Author :
Filho, Nemésio Freitas Duarte ; Duarte, Alexandre Freitas
Author_Institution :
Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil
Abstract :
This paper describes an efficient way to presort students as possible pass / fail courses in which use of distance education as an aid or fully in its activities. The environment was used moodle and technique of data mining for classification was the SVM (Support Vector Machine). This makes it possible to efficiently classify the chance to be a student flunking a course and then act in a preventative manner to avoid such failure.
Keywords :
computer aided instruction; data mining; distance learning; support vector machines; data mining; distance education; distance learning; students classification; support system; support vector machine; virtual environments; Classification algorithms; Data mining; Internet; Kernel; Object oriented modeling; Probability; Support vector machines; Classification; Moodle; SVM (Support Vector Machine);
Conference_Titel :
Information Systems and Technologies (CISTI), 2010 5th Iberian Conference on
Conference_Location :
Santiago de Compostela
Print_ISBN :
978-1-4244-7227-7
