Students' performance in interactive environments: an intelligent model

DM Elbourhamy, AH Najmi, AIM Elfeky - PeerJ Computer Science, 2023 - peerj.com
Modern approaches in education technology, which make use of advanced resources such
as electronic books, infographics, and mobile applications, are progressing to improve …

A decision support system for automated diagnosis of Parkinson's disease from EEG using FAWT and entropy features

P Chawla, SB Rana, H Kaur, K Singh, R Yuvaraj… - … Signal Processing and …, 2023 - Elsevier
Abstract Parkinson's disease (PD), a neurodegenerative disorder characterized by rest
tremors, muscular rigidity, and bradykinesia, has become a global health concern. Currently …

Transforming educational insights: Strategic integration of federated learning for enhanced prediction of student learning outcomes

U Farooq, S Naseem, T Mahmood, J Li… - The Journal of …, 2024 - Springer
Numerous educational institutions utilize data mining techniques to manage student
records, particularly those related to academic achievements, which are essential in …

Developing a Model to Predict Self-Reported Student Performance during Online Education Based on the Acoustic Environment

V Puyana-Romero, CM Larrea-Álvarez… - Sustainability, 2024 - mdpi.com
In recent years, great developments in online university education have been observed,
favored by advances in ICT. There are numerous studies on the perception of academic …

A Comparative Study of Hybrid Neural Network with Metaheuristics for Student Performance Classification

G Phatai, T Luangrungruang - 2023 11th International …, 2023 - ieeexplore.ieee.org
This study investigated the use of an neural network (NN) and metaheuristic algorithms for
predictions using the Higher Education Students Performance Evaluation Dataset. An NN …

Prediction on Impact of Electronic Gadgets in Students Life using Machine Learning

K Saraswathi, B Devadharshini… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Nowadays electronic gadgets play an important role in students' life as a source of learning.
The Dependency of services provided by electronic gadgets has reached a large scale …

Machine Learning and Its Application in Educational Area

A Tripathi, Y Singh, A Sharma… - Meta Heuristic …, 2024 - Wiley Online Library
Machine learning (ML) is used for advancement of various fields which is also applicable to
education system which will change learning and teaching methods fundamentally. As …

Forecasting Student Achievement through Machine Learning Models

N Abinaya, S Privanka, E Pavithra… - 2023 7th …, 2023 - ieeexplore.ieee.org
The paper discusses the challenges faced by universities and technical organizations in
analyzing students' performance using digital data from various sources such as social …

[PDF][PDF] Learning Curve and Performance Monitoring of Students in Online Education using Artificial Intelligence

N Patil, M Patil, S Kadam, R Srivaramangai - academia. edu,. academia … - academia.edu
Online learning during the COVID-19 pandemic presents numerous challenges for students
and institutions, including technical issues, low attendance, poor attention, and time …

Performance evaluation of classifiers for the COVID-19 symptom-based dataset using different feature selection methods

IK Fauzan, M Makhtar, R Rosly… - International Journal of …, 2023 - search.proquest.com
Classification algorithms are commonly employed in healthcare systems to aid decision
support processes, such as treatment regimens, diagnosis, and illness prediction. The …