Students' Performance Prediction Using Machine Learning Based on Generative Adversarial Network

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Student Performance Prediction Model Based on Course Description and Student Similarity

D Mäder, M Spahic-Bogdanovic… - … Conference on Advanced …, 2024 - Springer
Choosing courses at the beginning of each semester is a complex decision that affects
students' future careers and academic performance, especially when given the freedom to …
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An Analysis of Machine Learning Algorithms for Predicting Student Performance with a Focus on Teacher and Class Attributes

A Gaddi, MS Kumar, P Kulkarni, M Elemmi… - … on Computing and …, 2024 - Springer
The data mining technique (DMT) extracts the core idea and existing knowledge from the
available data. Machine learning algorithms are one of the most popular techniques for …
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Generative Adversarial Networks (GANs) for Education: State-Of-Art and Applications

KN Kavyashree, G Shidaganti - International Conference on Power …, 2024 - Springer
In the ever-changing educational landscape, technology integration has become essential
to improving students' understanding of basic topics. The COVID-19 pandemic hastened the …
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and Applications

KN Kavyashree, G Shidaganti - Power Engineering and …, 2025 - books.google.com
In the ever-changing educational landscape, technology integration has become essential
to improving students' understanding of basic topics. The COVID-19 pandemic hastened the …
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