Artificial Intelligence in Learning
The Artificial Intelligence in Learning (AIL) (E-ISSN: 3089-3690 | DOI Prefix: 10.63913/ail) is a peer-reviewed international open-access academic journal dedicated to advancing the understanding and application of artificial intelligence in education and learning environments. It publishes high-quality research articles, reviews, and technical reports that explore the development, implementation, and impact of AI-driven technologies in educational contexts. The journal serves as a platform for scholars, practitioners, and policymakers to share innovative findings, discuss emerging trends, and address challenges in AI-enhanced learning.
Aims and Scope
The Artificial Intelligence in Learning focuses on the design, development, and evaluation of AI technologies in education. The journal covers research on Machine Learning for Personalized Learning; Intelligent Tutoring Systems; Educational Data Mining and Learning Analytics; Adaptive Learning Environments; AI-Driven Assessment and Evaluation; and Digital Pedagogy Innovation. It also addresses ethical, social, and policy-related aspects of AI in education, as well as practical implementations and case studies demonstrating real-world applications across formal and informal learning settings, including schools, higher education, corporate training, and lifelong learning ecosystems