A support system for classification of students approved/disapproved in virtual environments for distance learning

A support system for classification of students approved/disapproved in virtual environments for distance learning

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 possi...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Filho, Nemésio Freitas Duarte, Duarte, A F
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Classification
Classification algorithms
Data mining
Internet
Kernel
Moodle
Object oriented modeling
Probability
Support vector machines
SVM (Support Vector Machine)
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
ISSN:2166-0727