Digital Library

cab1

 
Title:      SYSTEM MONITORING STUDENT PERFORMANCE DATA MINING USING VLES
Author(s):      Andreia Rosangela Kessler Mühlbeier, Aderson de Carvalho, Roseclea Duarte Medina, Sergio da Costa Nunes
ISBN:      978-989-8533-44-9
Editors:      Pedro Isaías
Year:      2015
Edition:      Single
Keywords:      Knowledge Discovery in Database, Student performance, WEKA.
Type:      Short Paper
First Page:      187
Last Page:      191
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:     

The rapid development and increasing use of virtual learning environments (VLEs) motivates a transformation in education. This article presents a study of the techniques of data mining, which has the objective to research and analyze student performance in the virtual environment in real-time implementation of a course, providing the teacher feedback, thus seeking to allow inferences to assist in stimulating growth their participation and improve their performance and to prevent circumvention of the course. The results obtained from research tools and techniques demonstrated that it is possible to obtain these inferences during periods.

   

Social Media Links

Search

Login