论文信息 - Predicting Students Final GPA Using Decision Trees: A Case Study

Predicting Students Final GPA Using Decision Trees: A Case Study

 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.

Muna S. Al-Razgan | Muna Al-Razgan | Mashael A. Al-Barrak

[1] Wilhelmiina Hämäläinen,et al. Classifiers for educational data mining , 2010 .

[2] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.

[3] Elizabeth Boretz,et al. Grade Inflation And The Myth Of Student Consumerism , 2004 .

[4] Hend Suliman Al-Khalifa,et al. Educational Data Mining: A Systematic Review of the Published Literature 2006-2013 , 2013, DaEng.

[5] César Hervás-Martínez,et al. Data Mining Algorithms to Classify Students , 2008, EDM.

[6] Marta E. Zorrilla,et al. Comparing classification methods for predicting distance students' performance , 2011, WAPA.

[7] Alaa M. El-Halees. Mining students data to analyze e-Learning behavior: A Case Study , 2009 .

[8] Zlatko J. Kovacic,et al. Early Prediction of Student Success: Mining Students Enrolment Data , 2010 .

[9] Saurabh Pal,et al. Mining Educational Data to Analyze Students' Performance , 2012, ArXiv.

[10] Qasem A. Al-Radaideh,et al. A CLASSIFICATION MODEL FOR PREDICTING THE SUITABLE STUDY TRACK FOR SCHOOL STUDENTS , 2011 .

[11] Dorina Kabakchieva,et al. Predicting Student Performance by Using Data Mining Methods for Classification , 2013 .

[12] Subodh Chaudhari,et al. Enrollment Prediction Models Using Data Mining , 2009 .

[13] Fadzilah Siraj,et al. Mining Enrolment Data Using Predictive and Descriptive Approaches , 2012 .