Prediction of students' academic performance based on courses' grades using deep neural networks
A Nabil, M Seyam, A Abou-Elfetouh - IEEE Access, 2021 - ieeexplore.ieee.org
Predicting students' academic performance at an early stage of a semester is one of the
most crucial research topics in the field of Educational Data Mining (EDM). Students are …
most crucial research topics in the field of Educational Data Mining (EDM). Students are …
Leverage Learning Behaviour Data for Students' Learning Performance Prediction and Influence Factor Analysis
Q Ni, Y Zhu, L Zhang, X Lu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Online education has become increasingly significant for university students and faculty,
especially in the context of the modern remote education landscape. However, the inherent …
especially in the context of the modern remote education landscape. However, the inherent …
Educational Data Mining Using Base (Individual) and Ensemble Learning Approaches to Predict the Performance of Students
The ensemble approaches involving amalgamation of various learning classifiers are
grounded on heuristic machine learning methods to device prediction paradigms, as these …
grounded on heuristic machine learning methods to device prediction paradigms, as these …
Improving Student Grade Prediction Using Hybrid Stacking Machine Learning Model
S Reddy, SD Pande - EAI Endorsed Transactions on Internet of …, 2024 - publications.eai.eu
With increasing technical procedures, academic institutions are adapting to a data-driven
decision-making approach of which grade prediction is an integral part. The purpose of this …
decision-making approach of which grade prediction is an integral part. The purpose of this …
[PDF][PDF] Chi-Square Feature Selection Technique for Student's performance prediction
H Bhoria, A Dhankhar… - Indian Journal …, 2023 - sciresol.s3.us-east-2.amazonaws …
Objectives: The main goals of this study are: 1) To assess students' performance using
several machine learning models. 2) To identify the attributes influencing the student's …
several machine learning models. 2) To identify the attributes influencing the student's …