Educational Data Mining Utilization to Support the Admission Process in Higher Education Institutions: A Systematic Literature Review-Reference-Cited by-同舟云学术

Educational Data Mining Utilization to Support the Admission Process in Higher Education Institutions: A Systematic Literature Review

Published:2023-01-26 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference On Cyber Management And Engineering (CyMaEn)
language:
Short-container-title:

Author:

Al-Alawi Adel Ismail¹,Alfateh Maryam Ali Abu²,Alrayes Amal Mohammed³

Affiliation:

1. University of Bahrain,College of Business Administration,Sakhir,Kingdom of Bahrain

2. University of Bahrain,College of Applied Studies,Sakhir,Kingdom of Bahrain

3. University of Bahrain,College of Information Technology,Sakhir,Kingdom of Bahrain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10050883/10050886/10051077.pdf?arnumber=10051077

Reference32 articles.

1. INDICATORS OF STUDENTS’ SUCCESS AT HIGHER EDUCATION INSTITUTIONS;khoshaim,0

2. Data mining approach to predicting the performance of first year student in a university using the admission requirements

3. VALIDITY OF HIGHSCHOOL GRADES IN PREDICTING STUDENT SUCCESS BEYOND THE FRESHMAN YEAR: High-School Record vs. Standardized Tests as Indicators of Four-Year College Outcomes * Introduction and Policy Context;edu/,2007

4. High School GPAs and ACT Scores as Predictors of College Completion: Examining Assumptions About Consistency Across High Schools

5. A Machine Learning Approach for Predicting Student Enrollment in the University

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Association Rule Methods and K-Means Clustering For Optimization Mapping Of New Students Admission;2024 IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS);2024-02-21