Articles
20 results
Mapping the Governance Landscape of Artificial Intelligence Through OECD Policy Analysis
Hani Atiahallah Alyoubi and Haitham Hussain Alkhayat
Volume 1 • Issue 4 • 2025 • Regular Issue: December 2025 • 329-345
Clustering AI Job Roles Using PCA and K-Means Based on Skill Profiles and Automation Risk
Untung Rahardja and Qurotul Aini
Volume 1 • Issue 4 • 2025 • Regular Issue: December 2025 • 315-328
AI Governance and Strategic Priorities: Mapping National AI Policies in the OECD
Priyo Agung Prastyo and Galih Bagaskoro
Volume 1 • Issue 4 • 2025 • Regular Issue: December 2025 • 301-314
The Impact of Educational Profiles on Salary Levels among Employed Nigerian Graduates: A Machine Learning Analysis with Random Forest and Gradient Boosting
Jayvie Ochona Guballo
Volume 1 • Issue 4 • 2025 • Regular Issue: December 2025 • 287-300
Uncovering Lifestyle and Mental Well-being Predictors of Academic Performance Change in Online Learning: A Comparative Analysis of Interpretable Machine Learning Models
Dewi Fortuna and Christoba Joshua Hutagalung
Volume 1 • Issue 4 • 2025 • Regular Issue: December 2025 • 271-286
Unveiling Educational Archetypes of High Achievers: A K-Prototypes Clustering Analysis of Academic Pathways
Daniel Mashao and Ayorinde Olanipekun
Volume 1 • Issue 3 • 2025 • Regular Issue: September 2025 • 258-270
A Comparative Study of Logistic Regression and Random Forest for Predicting Student Adaptability in Embedded Systems Entrepreneurship Education
Quba Siddique
Volume 1 • Issue 3 • 2025 • Regular Issue: September 2025 • 245-257
Quantifying the Impact: A Regression Analysis of Digital Media Consumption versus Study Habits on Student Academic Performance
Mei Chen and Lin Tang
Volume 1 • Issue 3 • 2025 • Regular Issue: September 2025 • 228-244
Addressing Class Imbalance in Predicting Student Academic Outcomes: A Comparative Study of Resampling Techniques with Machine Learning Classifiers in Higher Education
Tri Rochmadi and Anantian Mahendra Tirta Saputra
Volume 1 • Issue 3 • 2025 • Regular Issue: September 2025 • 211-227
Predicting Student Depression Based on Academic, Lifestyle, and Demographic Factors Using Machine Learning
Les Endahti and Jalaludin
Volume 1 • Issue 3 • 2025 • Regular Issue: September 2025 • 195-210
Predicting User Engagement in E-Learning Platforms Using Decision Tree Classification: Analyzing Early Activity and Device Interaction Patterns
Latasha Lenus and Andhika Rafi Hananto
Volume 1 • Issue 2 • 2025 • Regular Issue: June 2025 • 174-194
Machine Learning for Wage Growth Prediction: Analyzing the Role of Experience, Education, and Union Membership in Workforce Earnings Using Gradient Boosting
Agung Budi Prasetio, Burhanuddin bin Mohd Aboobaider and Asmala bin Ahmad
Volume 1 • Issue 2 • 2025 • Regular Issue: June 2025 • 153-173
Predicting Online Course Popularity Using LightGBM: A Data Mining Approach on Udemy's Educational Dataset
Minh Luan Doan
Volume 1 • Issue 2 • 2025 • Regular Issue: June 2025 • 137-152
Predicting University Rankings Using Random Forest Regression on Institutional Metrics: A Data Mining Approach for Enhancing Higher Education Decision-Making
Min Tsai-Lai and Taqwa Hariguna
Volume 1 • Issue 2 • 2025 • Regular Issue: June 2025 • 114-136
Enhancing Open Access to Data Science Education: Analyzing Skill Patterns Using LDA and K-Means Clustering in the Learning Path Index Dataset
Ibrahiem M. M. El Emary, Iwona Chomiak-Orsa and Elwira Gross-Gołacka
Volume 1 • Issue 2 • 2025 • Regular Issue: June 2025 • 93-113
Analyzing the Impact of School Type on Student Outcomes Across Counties: A Comparative Study Using ANOVA
I Gede Agus Krisna Warmayana, Yuichiro Yamashita and Nobuto Oka
Volume 1 • Issue 1 • 2025 • Regular Issue: March 2025 • 75-92
Evaluating the Impact of Affirmative Action on Student Selection Outcomes: A Data Mining Approach Using SKD Test Performance at STMKG
Lee Kyung Oh and Husni Teja Sukmana
Volume 1 • Issue 1 • 2025 • Regular Issue: March 2025 • 54-74
Clustering Student Behavioral Patterns: A Data Mining Approach Using K-Means for Analyzing Study Hours, Attendance, and Tutoring Sessions in Educational Achievement
Yusuf Durachman and Abdul Wahab Abdul Rahman
Volume 1 • Issue 1 • 2025 • Regular Issue: March 2025 • 35-53
Predicting Student Achievement Using Socioeconomic and School-Level Factors
Thosporn Sangsawang and Liu Yang
Volume 1 • Issue 1 • 2025 • Regular Issue: March 2025 • 20-34
Comparing Random Forest and Logistic Regression for Predicting Student Completion in Online University Courses Using Behavioral Data
Muhamad Irfan, Abdul Sattar, Ahmad Sher and Muhamad Ijaz
Volume 1 • Issue 1 • 2025 • Regular Issue: March 2025 • 1-19