Data Mining Techniques for Student Performance Prediction: A Review

M Abu, SNM Razali, NNA Rasli, NH Alilah - From Industry 4.0 to Industry …, 2023 - Springer
Academic performance of the student in higher education are among of the important data
for educators and employers in this new era. The issue to analyse a large number of data …

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 …

A comparative study of machine learning algorithms for virtual learning environment performance prediction

E Ismanto, HA Ghani… - IAES International Journal …, 2023 - myscholar.umk.edu.my
Virtual learning environment is becoming an increasingly popular study option for students
from diverse cultural and socioeconomic backgrounds around the world. Although this …

Ethical Imperatives and Challenges: Review of the Use of Machine Learning for Predictive Analytics in Higher Education

E Barnes, J Hutson, K Perry - International …, 2024 - digitalcommons.lindenwood.edu
The escalating integration of machine learning (ML) in higher education necessitates a
critical examination of its ethical implications. This article conducts a comprehensive review …

Elevating Student Performance Prediction using Extra-Trees Classifier and Meta-Heuristic Optimization Algorithms.

Y Li, M He - … Journal of Advanced Computer Science & …, 2024 - search.ebscohost.com
In the highly competitive landscape of academia, the study addresses the multifaceted
challenge of analyzing voluminous and diverse educational datasets through the application …

Integrated Model for Asynchronous Learning and Predictive Analytics for Enhanced Learner Experience

A Dhamija, D Dhamija - Emergent Practices of Learning Analytics in …, 2024 - igi-global.com
Organizations of every size and industry are embracing data analytics to extract insightful
information from the data with the goal of enhancing decision-making, boosting productivity …

Efficiency of Hybrid Decision Tree Algorithms in Evaluating the Academic Performance of Students.

Y Xie - International Journal of Advanced Computer Science …, 2024 - search.ebscohost.com
Educational institutions are anticipated to take substantial and proactive roles in
guaranteeing students' successful program completion. Academic performance is …

Unlocking Potential: Predicting Student Entrepreneurship Performance Through Small Dataset Modelling

I Tahyudin, M Dianingrum, K Indartono… - 2023 IEEE 7th …, 2023 - ieeexplore.ieee.org
The role of colleges as educational institutions and knowledge centers significantly
influences young people's entrepreneurship development. One of the college's efforts is a …

Identifying Key Learning Algorithm Parameter of Forward Feature Selection to Integrate with Ensemble Learning for Customer Churn Prediction

S Tasneem, M Younas, Q Shafiq - VFAST Transactions on Software …, 2024 - vfast.org
The Telecommunication has been facing fierce growth of customer data and competition in
the market for a couple of decades. Due to this situation, an analytical strategy of proactive …

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 …