Prediction of student performance using machine learning techniques-Reference-Cited by-同舟云学术

Prediction of student performance using machine learning techniques

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:2023 5th Novel Intelligent and Leading Emerging Sciences Conference (NILES)
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Author:

Elsaid Khoudier Mohamed Mohsen¹,Mahmoud Abdelnaby Raneem Hany¹,Eldamnhoury Zeyad Mohamed¹,Ali Abouzeid Salma Raafat¹,El-Monayer Ghada K.¹,Enan Nada M.¹,El-Ghamry Amir²,Fouad Khaled³,Moawad Ibrahim⁴

Affiliation:

1. New Mansoura University,Faculty of Computer Science and Engineering

2. Mansoura University, Faculty of Computer Science and Engineering New Mansoura University, School of Engineering and Computer Science, University of Hertfordshire Hosted by Global Academic Foundation,Faculty of Computers and Information

3. Benha University, Faculty of Computer Science and Engineering New Mansoura University,Faculty of Computers and Artificial Intelligence

4. Ain Shams University, Faculty of Computer Science and Engineering New Mansoura University,Faculty of Computer and Information Sciences

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10296538/10296540/10296766.pdf?arnumber=10296766

Reference21 articles.

1. Early detection of university students with potential difficulties

2. Educational data mining: Predictive analysis of academic performance of public school students in the capital of Brazil

3. Prediction of students' academic performance using artifcial neural network;ahmad;Bulletin of Educational Research,2018

4. A graphically based machine learning approach to predict secondary schools performance in Tunisia

5. Predicting GPA of University Students with Supervised Regression Machine Learning Models