Predicting at-Risk Students at Different Percentages of Course Length for Early Intervention Using Machine Learning Models-Reference-Cited by-同舟云学术

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Predicting at-Risk Students at Different Percentages of Course Length for Early Intervention Using Machine Learning Models

Published:2021 Issue: Volume:9 Page:7519-7539
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Adnan Muhammad^ORCID,Habib Asad^ORCID,Ashraf Jawad,Mussadiq Shafaq^ORCID,Raza Arsalan Ali,Abid Muhammad,Bashir Maryam,Khan Sana Ullah

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09314000.pdf?arnumber=9314000

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