Predicting Students’ Academic Performance with Conditional Generative Adversarial Network and Deep SVM

Predicting Students’ Academic Performance with Conditional Generative Adversarial Network and Deep SVM

The availability of educational data obtained by technology-assisted learning platforms can potentially be used to mine student behavior in order to address their problems and enhance the learning process. Educational data mining provides insights for professionals to make appropriate decisions. Lea...

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Bibliographic Details
Main Authors: Samina Sarwat, Naeem Ullah, Saima Sadiq, Robina Saleem, Muhammad Umer, Ala’ Abdulmajid Eshmawi, Abdullah Mohamed, Imran Ashraf
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
educational data
CGAN
SVM
predicting student performance
tutoring
Online Access:https://www.mdpi.com/1424-8220/22/13/4834

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https://www.mdpi.com/1424-8220/22/13/4834

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