The Role of Machine Learning in Identifying Students At-Risk and Minimizing Failure

The Role of Machine Learning in Identifying Students At-Risk and Minimizing Failure

Education is very important for students’ future success. The performance of students can be supported by the extra assignments and projects given by the instructors for students with low performance. However, a major problem is that students at-risk cannot be identified early. This situa...

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Bibliographic Details
Main Authors: Reyhan Zeynep Pek, Sibel Tariyan Ozyer, Tarek Elhage, Tansel Ozyer, Reda Alhajj
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
At-risk students
classification
dropout prediction
hybrid model
machine learning techniques
stacking ensemble model
Online Access:https://ieeexplore.ieee.org/document/10002336/

Internet

https://ieeexplore.ieee.org/document/10002336/

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