Identifying Dropout Students using ID3 Decision Tree Algorithm |
Author(s): |
| Venugopalreddy Aalagadda , KMM Institute of PG Studies; Mrs. I. Madhavi Latha, KMM Institute of PG Studies |
Keywords: |
| Predicting Dropout Student, Classification, Decision Tree |
Abstract |
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The objectives of this research work is to identify relevant attribute from socio-demographic, academic and institutional data of first year students from undergraduate at the university and in the form of a model machine learning tool that automatically determines whether the student can continue his study or use the classification method based on the Decision tree. For powerful decision making tool different parameter are need to be considered such as socio-demographic data, parental attitude and institutional factors. The generated knowledge will be quite useful for tutor and management of university to develop policies and strategies related to increase the enrolment rate in university and take precautions and advice and reduce student drop. It can also use to find the reasons and relevant factors that affect the dropout students. |
Other Details |
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Paper ID: IJSRDV7I10938 Published in: Volume : 7, Issue : 1 Publication Date: 01/04/2019 Page(s): 1203-1206 |
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