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Title:
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EDUCATIONAL DATA MINING FOR SUPPORT E-LEARNING TEACHER BASED ON DECISION TREE |
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Author(s):
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Alana M. de Morais, Joseana M. F. R. de Araújo |
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ISBN:
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978-989-8533-16-6 |
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Editors:
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Bebo White and Pedro Isaías |
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Year:
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2013 |
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Edition:
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Single |
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Keywords:
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Decision-Making, e-Learning Assessment, Decision Tree, Distance Education. |
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Type:
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Full Paper |
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First Page:
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141 |
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Last Page:
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148 |
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Language:
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English |
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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 current paper presents an Educational Data Mining (EDM) Approach for identify which factors are most relevant on the e-learning course. This analysis helps on improvement of teacher decision on the Virtual Learning Environment (VLE). When the teacher understand and identify a weakness in his virtual class, he can make right decisions, and solve the faults. We used the decision tree to support our investigation about relevant factors for good student performance in virtual course. The EDM Approach applies the methodology on e-learning courses in order to compare the main e-learning criteria among them. The results showed that the rate of student participation, and good performance in your tasks influence the result of the good student in the course. The team concluded that the analytical EDM Approach is a way to better understand, and improve the quality of e-Learning course. |
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