Student Performance Prediction Approach Based on Educational Data Mining

Z Chen, G Cen, Y Wei, Z Li - IEEE Access, 2023 - ieeexplore.ieee.org
Predicting student performance is crucial for improving students' future academic
achievements. Within student groups, common characteristics can reveal trends in overall …

[HTML][HTML] Predicting academic performance using an efficient model based on fusion of classifiers

A Siddique, A Jan, F Majeed, AI Qahmash, NN Quadri… - Applied Sciences, 2021 - mdpi.com
In the past few years, educational data mining (EDM) has attracted the attention of
researchers to enhance the quality of education. Predicting student academic performance …

Student Performance Prediction in Learning Management System Using Small Dataset

ZS Hafdi, S El Kafhali - … Conference on Artificial Intelligence and Computer …, 2023 - Springer
Predicting students' performance has become a major need in most educational institutions.
This is necessary to support at-risk students, ensure their retention, provide top-notch …

Student Course Score Prediction Based on Large-scale Multi-Source Data

M Chen, W Xu, H Xinghao, Z Tu… - TENCON 2022-2022 …, 2022 - ieeexplore.ieee.org
With the rapid development of education informatization, many scholars researched in the
field of education data mining (EDM), among which the most popular research is student …

Cluster-based distributed architecture for prediction of student's performance in higher education

L Ramanathan, G Parthasarathy, K Vijayakumar… - Cluster …, 2019 - Springer
Educational data mining (EDM) has emerged as a research area in recent years for
researchers all over the world from different and related research areas. The EDM obtained …

Predicting student performance using data mining

LW Santoso - 2018 - repository.petra.ac.id
Supporting the goal of higher education to produce graduation who will be a professional
leader is a crucial. Most of universities implement intelligent information system to support in …

[HTML][HTML] Student Performance Prediction with Regression Approach and Data Generation

D Ying, J Ma - Applied Sciences, 2024 - mdpi.com
Although the modern education system is highly developed, educators have never stopped
looking for new ways to improve it. After entering the 21st century, more and more …

A University Student Performance Prediction Model and Experiment Based on Multi-Feature Fusion and Attention Mechanism

D Sun, R Luo, Q Guo, J Xie, H Liu, S Lyu, X Xue… - IEEE …, 2023 - ieeexplore.ieee.org
Predicting student performance is a crucial research area in educational data mining.
Student grades are influenced by various factors such as past academic performance, family …

Student's Academic Performance Prediction Using Ensemble Methods Through Educational Data Mining

S Vaheed, R Pratap Singh, P Nayak… - … Applications, Volume 1 …, 2022 - Springer
Student academic performance (SAP) is one of the most important factors that influence the
attainment of an educational institution. Educational data mining (EDM) follows the principle …

Student performance prediction using multi-layers artificial neural networks: A case study on educational data mining

S Altaf, W Soomro, MIM Rawi - Proceedings of the 2019 3rd International …, 2019 - dl.acm.org
In recent years, Neural Network (NN) has seen widespread and successful implementations
in a wide range of data mining applications, often surpassing other classifiers. This study …