Predicting Student Withdrawal from UAE CHEDS Repository using Data Mining Methodology
Early prediction of a student who is at risk of course dropout leads to student retention in the study course. The percentage of student dropout in higher education sector is high, and affects the students’ careers negatively and the institute’s program continuation. The purpose of this study is to...
محفوظ في:
| المؤلف الرئيسي: | BINEID, AHMAD ABDULLA (author) |
|---|---|
| منشور في: |
2022
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://bspace.buid.ac.ae/handle/1234/2130 |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Data mining approach to predict student's selection of program majors
حسب: SIDDARTHA, SHARMILA
منشور في: (2019) -
Education Data Mining to Predict Student Exam Grades in Vocational Institutes
حسب: Saleh, Ashjan Ahmad
منشور في: (2015) -
Factors Afecting Students’ Performance in Higher Education: A Systematic Review of Predictive Data Mining Techniques
حسب: Abu Saa, Amjed
منشور في: (2019) -
Mining Student Information System Records to Predict Students’ Academic Performance
حسب: ABU SAA, AMJED TARIQ MOHAMMAD
منشور في: (2018) -
Using Educational Data Mining Techniques in Predicting Grade-4 students’ performance in TIMSS International Assessments in the UAE
حسب: SHWEDEH, FATEN
منشور في: (2018)