Predicting Student Performance in Higher Education Institutions Using Decision Tree Analysis

International Journal of Interactive Multimedia and Artificial Intelligence 5.2 (2018): 26-31

6 Pages Posted: 23 Sep 2018 Last revised: 11 Jan 2019

See all articles by Alaa Hamoud

Alaa Hamoud

University of Basrah - Department of Computer Information Systems

Ali Salah Hashim

University of Basrah - Department of Computer Information Systems

Wid Akeel Awadh

University of Basrah - Department of Computer Information Systems

Abstract

The overall success of educational institutions can be measured by the success of its students. Providing factors that increase success rate and reduce the failure of students is profoundly helpful to educational organizations. Data mining is the best solution to finding hidden patterns and giving suggestions that enhance the performance of students. This paper presents a model based on decision tree algorithms and suggests the best algorithm based on performance. Three built classifiers (J48, Random Tree and REPTree) were used in this model with the questionnaires filled in by students. The survey consists of 60 questions that cover the fields, such as health, social activity, relationships, and academic performance, most related to and affect the performance of students. A total of 161 questionnaires were collected. The Weka 3.8 tool was used to construct this model. Finally, the J48 algorithm was considered as the best algorithm based on its performance compared with the Random Tree and RepTree algorithms.

Keywords: Prediction, Students’ Success, Decision Tree, Random Tree, REPTree, Weka

JEL Classification: J48

Suggested Citation

Khalaf, Alaa and Hashim, Ali Salah and Awadh, Wid Akeel, Predicting Student Performance in Higher Education Institutions Using Decision Tree Analysis. International Journal of Interactive Multimedia and Artificial Intelligence 5.2 (2018): 26-31, Available at SSRN: https://ssrn.com/abstract=3243704

Alaa Khalaf (Contact Author)

University of Basrah - Department of Computer Information Systems ( email )

Basrah
Iraq

Ali Salah Hashim

University of Basrah - Department of Computer Information Systems

Basrah
Iraq

Wid Akeel Awadh

University of Basrah - Department of Computer Information Systems

Basrah
Iraq

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