A dual-mode grade prediction architecture for identifying at-risk students
Predicting student performance in an academic institution is important for detecting at-risk students and to administer early intervention strategies. In this article, we develop a new architecture that achieves grade prediction based only on grades achieved over past semesters. Our proposed archite...
Main Authors: | Qiu, Wei, Khong, Andy Wai Hoong, Supraja, S., Tang, Wenyin |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/175887 |
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