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 …
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 …
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 …
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 …
Educational data mining model using support vector machine for student academic performance evaluation
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 …
[HTML][HTML] Evaluation of early student performance prediction given concept drift
B Sonnleitner, T Madou, M Deceuninck… - … and Education: Artificial …, 2025 - Elsevier
Forecasting student performance can help to identify students at risk and aids in
recommending actions to improve their learning outcomes. That often involves elaborate …
recommending actions to improve their learning outcomes. That often involves elaborate …
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 …
[HTML][HTML] Renewal of the Concept of Diverse Education: Possibility of Further Education Based on a Novel AI-Based RF–ISSA Model
E Li, Z Wang, J Liu, J Huang - Applied Sciences, 2024 - mdpi.com
The traditional graduate admission method is to evaluate students' performance and
interview results, but this method relies heavily on the subjective feelings of the evaluators …
interview results, but this method relies heavily on the subjective feelings of the evaluators …
[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 …