A Deep Neural Network-Based Prediction Model for Students’ Academic Performance-Reference-Cited by-同舟云学术

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A Deep Neural Network-Based Prediction Model for Students’ Academic Performance

Published:2021-12-07 Issue: Volume: Page:
ISSN:
Container-title:2021 14th International Conference on Developments in eSystems Engineering (DeSE)
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Author:

Al-Tameemi Ghaith¹,Xue James¹,Ajit Suraj¹,Kanakis Triantafyllos¹,Hadi Israa²,Baker Thar³,Al-Khafajiy Mohammed⁴,Al-Jumeily Rawaa⁵

Affiliation:

1. University of Northampton,Northampton,United Kingdom

2. University of Babylon,Babil,Iraq

3. University of Sharjah,Sharjah,United Arab Emirates

4. University of Reading,Reading,United Kingdom

5. Liverpool John Moores University,Liverpool,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9718563/9719327/09719552.pdf?arnumber=9719552

Reference25 articles.

1. Towards an Intelligent System to Improve Student Engagement and Retention

2. Predicting students yearly performance using neural network: A case study of BSMRSTU

3. Behavior-Based Grade Prediction for MOOCs via Time Series Neural Networks

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Feature Mining Algorithm for Student Academic Prediction Based on Interpretable Deep Neural Network;2024 12th International Conference on Information and Education Technology (ICIET);2024-03-18

2. A Hybrid Machine Learning Approach for Predicting Student Performance Using Multi-class Educational Datasets;Procedia Computer Science;2024

3. Advancing Sustainable Learning Environments: A Literature Review on Data Encoding Techniques for Student Performance Prediction using Deep Learning Models in Education;E3S Web of Conferences;2024

4. Predictive Modelling with the Open University Learning Analytics Dataset (OULAD): A Systematic Literature Review;Communications in Computer and Information Science;2024

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