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DDAAV - Detector Student Performance

Authors:
Andreia Rosangela Kessler Mühlbeier
Aderson de Carvalho
Roseclea Duarte Medina
Fabiana Santiago Sgobbi
Liane Margarida Rockenbach Tarouco

Keywords: data mining; student achievement; weka; knowledge discovery in databases.

Abstract:
The accelerated development and increasing use of virtual learning environments (VLE) motivates a transformation in education. This article presents a study of techniques and data mining tools (MD), which aims to research and analyze the student's behavior in the virtual environment, real-time execution of a course, providing feedback to the teacher about the students’ academic performance encouraging its participation to improve the performance and preventing the circumvention of the course. The results obtained from the research of tools and techniques demonstrate that it is possible to obtain these inferences during periods.

Pages: 139 to 144

Copyright: Copyright (c) IARIA, 2015

Publication date: July 19, 2015

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-418-3

Location: Nice, France

Dates: from July 19, 2015 to July 24, 2015