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