doi: 10.7763/IJIET.2016.V6.745
Predicting Students Final GPA Using Decision Trees: A Case Study
Mashael A. Al-Barrak
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Abstract
Educational data mining is the process of applying data mining tools and techniques to analyze data at educational institutions. In this paper, we used educational data mining to predict students' final GPA based on their grades in previous courses. In our case study, we collected students' transcript data that included their final GPA and their grades in all courses. After pre-processing the data, we applied the J48 decision tree algorithm to discover classification rules. We extracted useful knowledge for final GPA, and identify the most important courses in the students' study plan based on their grades in the mandatory courses.
Keywords
- Educational data mining
- classification
- decision tree
- analysis
How to Cite
Mashael A. Al-Barrak and Muna Al-Razgan, "Predicting Students Final GPA Using Decision Trees: A Case Study," International Journal of Information and Education Technology, vol. 6, no. 7, pp. 528-533, 2016. https://doi.org/10.7763/IJIET.2016.V6.745
Copyright & License
Copyright © 2016 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).