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 …

Predictive analytics for university student admission: a literature review

KC Li, BTM Wong, HT Chan - International Conference on Blended …, 2023 - Springer
This paper presents a literature review on the use of learning analytics to support prediction
in university student admission. The review covers four areas: types of research issues …

Predicting the impact of internet usage on students' academic performance using machine learning techniques in Bangladesh perspective

SH Hemal, MAR Khan, I Ahammad, M Rahman… - Social Network Analysis …, 2024 - Springer
Education systems have significantly changed with the emergence of the internet. It has a
significant impact on how students learn things. Nevertheless, its impact can also be …

[PDF][PDF] Critical Review of Stack Ensemble Classifier for the Prediction of Young Adults' Voting Patterns Based on Parents' Political Affiliations

G Elo, B Ghansah, EK Kwaa-Aidoo - Informing Science: The International …, 2024 - inform.nu
ABSTRACT Aim/Purpose This review paper aims to unveil some underlying machine-
learning classification algorithms used for political election predictions and how stack …

[HTML][HTML] Predicting the Strength Performance of Hydrated-Lime Activated Rice Husk Ash-Treated Soil Using Two Grey-Box Machine Learning Models

A Baghbani, A Soltani, K Kiany, F Daghistani - Geotechnics, 2023 - mdpi.com
Geotechnical engineering relies heavily on predicting soil strength to ensure safe and
efficient construction projects. This paper presents a study on the accurate prediction of soil …

Prediction of At-Risk Students Using Learning Analytics: A Literature Review

KC Li, BTM Wong, HT Chan - International Conference on Technology in …, 2023 - Springer
Early identification of at-risk students has been recognised as being of the utmost
importance for the provision of timely support. Despite the prevalent use of learning analytics …

Evaluation of Random Forest and Support Vector Machine Models in Educational Data Mining

TA Assegie, AO Salau, G Chhabra… - … on Advancement in …, 2024 - ieeexplore.ieee.org
The computer science field has witnessed the popularity of machine learning (ML) in
discriminating low achieving and high-achieving students. However, various ML methods …

Prediction of Academic Success in a Biomedical Sciences Program via a General Knowledge Anatomy Quiz

LH Godfrey, EL Ausel - Medical Science Educator, 2024 - Springer
This communication outlines the use of a General Knowledge Quiz (GKQ) in predicting
academic success in higher education. Students' scores from the GKQ, completed at the …

Analysis of the Factors Influencing the Predictive Learning Performance Using Federated Learning

U Farooq, S Naseem, J Li, T Mahmood, A Rehman… - 2023 - researchsquare.com
Numerous educational institutions utilize data mining techniques to manage student
records, particularly those related to academic achievements, which are essential in …

Explaining Factors of Student Attrition at Higher Education

I Alcauter, L Martinez-Villasenor, H Ponce - Computación y Sistemas, 2023 - cys.cic.ipn.mx
The examination of student attrition within higher education is a dynamic field that seeks to
tackle the complex task of preventing dropout occurrences and formulating effective …