Prediction of Students’ Academic Performance Based on Courses’ Grades Using Deep Neural Networks

Prediction of Students’ Academic Performance Based on Courses’ Grades Using Deep Neural Networks

Predicting students’ academic performance at an early stage of a semester is one of the most crucial research topics in the field of Educational Data Mining (EDM). Students are facing various difficulties in courses like “Programming” and “Data Structures&...

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Bibliographic Details
Main Authors: Aya Nabil, Mohammed Seyam, Ahmed Abou-Elfetouh
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep neural networks
educational data mining
imbalanced dataset problem
machine learning
predicting students’ performance
resampling methods
Online Access:https://ieeexplore.ieee.org/document/9568875/

Internet

https://ieeexplore.ieee.org/document/9568875/

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