| Acceptance Rate: 20% |
Review Speed: 72 Days |
Number of Articles: 15 |
No. of Scopus Citations: 12 |
Abstract Views: 3.221 |
 E-ISSN: 3089-3690 |
Artificial Intelligence in Learning |
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| [Open Access] | ||
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Artificial Intelligence in Learning (AIL) was established as an academic journal dedicated to advancing research on artificial intelligence and its applications in education. Its scope covers the development of AI technologies, intelligent learning systems, educational analytics, and the integration of digital innovations in teaching and learning practices. The primary purpose of the journal is to provide a scholarly platform for researchers, practitioners, and academics to disseminate ideas and findings that foster the transformation of technology-based education. In this role, AIL serves as an important medium to strengthen the scientific literature, broaden academic insights, and contribute to the development of modern learning strategies driven by artificial intelligence. |
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Volume 1 • Issue 3 • 2025 • Regular Issue: September 2025
Articles
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
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
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