Student Retention Using Educational Data Mining and Predictive Analytics: A Systematic Literature Review

Student Retention Using Educational Data Mining and Predictive Analytics: A Systematic Literature Review

Student retention is an essential measurement metric in education, indicated by retention rates, which are accumulated as students re-enroll from one academic year to the next. High retention rates can be obtained if institutions aim to provide appropriate support and teaching methods among the vari...

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Bibliographic Details
Main Authors: Dalia Abdulkareem Shafiq, Mohsen Marjani, Riyaz Ahamed Ariyaluran Habeeb, David Asirvatham
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Educational data mining
learning analytics
machine learning
predictive models
student retention
Online Access:https://ieeexplore.ieee.org/document/9815588/

Internet

https://ieeexplore.ieee.org/document/9815588/

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