Vol. 1 No. 2 (2025): Regular Issue: June 2025 | Artificial Intelligence in Learning

This regular June 2025 issue comprises five original research articles authored and co-authored by 11 contributors representing 6 countries: Kingdom of Saudi Arabia, Poland, Singapore, Indonesia, Malaysia, and Taiwan.

Published: 2025-06-03

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, Elwira Gross-Gołacka

📈 Abstract: 32

🗎 PDF

📄 93-113

🗎 PDF: 23

📌 10.63913/ail.v1i2.45

Predicting University Rankings Using Random Forest Regression on Institutional Metrics: A Data Mining Approach for Enhancing Higher Education Decision-Making

👥 Min-Tsai Lai, Taqwa Hariguna

📈 Abstract: 72

🗎 PDF

📄 114-136

🗎 PDF: 31

📌 10.63913/ail.v1i2.44

Predicting Online Course Popularity Using LightGBM: A Data Mining Approach on Udemy's Educational Dataset

👥 Minh Luan Doan

📈 Abstract: 48

🗎 PDF

📄 137-152

🗎 PDF: 20

📌 10.63913/ail.v1i2.18

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, Asmala bin Ahmad

📈 Abstract: 79

🗎 PDF

📄 153-173

🗎 PDF: 36

📌 10.63913/ail.v1i2.42

Predicting User Engagement in E- Learning Platforms Using Decision Tree Classification: Analyzing Early Activity and Device Interaction Patterns

👥 Latasha Lenus, Andhika Rafi Hananto

📈 Abstract: 72

🗎 PDF

📄 174-194

🗎 PDF: 36

📌 10.63913/ail.v1i2.41

Journal Metrics
Acceptance Rate	49%
Review Speed	45 days
Issues per Year	4
Number of Volumes	2
Number of Issues	5
Number of Articles	25
Number of Reviewers	5
Number of Contributors	57
Contributing Countries	6
WoS Citations	18
Scopus Citations	33
Google Scholar Citations	53
Abstract Views	2,422 views
PDF Downloads	1,016
Updated at 18 May 2026

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Articles

Enhancing Open Access to Data Science Education: Analyzing Skill Patterns Using LDA and K- Means Clustering in the Learning Path Index Dataset

Predicting University Rankings Using Random Forest Regression on Institutional Metrics: A Data Mining Approach for Enhancing Higher Education Decision-Making

Predicting Online Course Popularity Using LightGBM: A Data Mining Approach on Udemy's Educational Dataset

Machine Learning for Wage Growth Prediction: Analyzing the Role of Experience, Education, and Union Membership in Workforce Earnings Using Gradient Boosting

Predicting User Engagement in E- Learning Platforms Using Decision Tree Classification: Analyzing Early Activity and Device Interaction Patterns