Transforming educational insights: Strategic integration of federated learning for enhanced prediction of student learning outcomes
Numerous educational institutions utilize data mining techniques to manage student
records, particularly those related to academic achievements, which are essential in …
records, particularly those related to academic achievements, which are essential in …
Predictive analytics for university student admission: a literature review
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 …
in university student admission. The review covers four areas: types of research issues …
[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, E Kwaa-Aidoo - Informing Sci. Int. J. an Emerg …, 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 …
learning classification algorithms used for political election predictions and how stack …
Predicting the impact of internet usage on students' academic performance using machine learning techniques in Bangladesh perspective
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 …
significant impact on how students learn things. Nevertheless, its impact can also be …
Predicting the Strength Performance of Hydrated-Lime Activated Rice Husk Ash-Treated Soil Using Two Grey-Box Machine Learning Models
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 …
efficient construction projects. This paper presents a study on the accurate prediction of soil …
Balancing Performance and Explainability in Academic Dropout Prediction
A Zanellati, SP Zingaro… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Academic dropout remains a significant challenge for education systems, necessitating
rigorous analysis and targeted interventions. This study employs machine learning …
rigorous analysis and targeted interventions. This study employs machine learning …
Predicting students' performance at higher education institutions using a machine learning approach
Purpose Many studies have examined pre-diploma students' backgrounds and academic
performance with results showing that some did not achieve the expected level of …
performance with results showing that some did not achieve the expected level of …
Educational data mining model using support vector machine for student academic performance evaluation
A Bisri, S Supardi, Y Heryatun… - … of Education and …, 2025 - edulearn.intelektual.org
In the educational landscape, educational data mining has emerged as an indispensable
tool for institutions seeking to deliver exceptional and high-quality education. However …
tool for institutions seeking to deliver exceptional and high-quality education. However …
An Analysis of Learning Analytics Approaches for Course Evaluation
Course evaluation plays a crucial role in analysing the effectiveness of a course. Despite the
emerging trend of applying learning analytics approaches to course evaluation, only limited …
emerging trend of applying learning analytics approaches to course evaluation, only limited …
Prediction of At-Risk Students Using Learning Analytics: A Literature Review
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 …
importance for the provision of timely support. Despite the prevalent use of learning analytics …