Adaptive Learning
The Adaptive Learning (AL) is an international, peer-reviewed scholarly journal dedicated to exploring the design, development, and application of adaptive and intelligent learning systems across education, technology, and cognitive sciences. It publishes high-quality research articles, reviews, and case studies that examine how artificial intelligence, data analytics, and personalized learning frameworks enhance human learning experiences. The journal serves as a global platform for educators, researchers, and technologists to share innovative approaches and address emerging challenges in adaptive education.
Aims and Scope
The Adaptive Learning focuses on the development and application of intelligent and personalized learning systems. The journal covers research on Adaptive Educational Technologies; Intelligent Tutoring Systems; AI-Driven Personalization; Learning Analytics and Predictive Modeling; Adaptive Assessment and Feedback; Gamification and Learner Motivation; and Ethical and Inclusive Adaptive Learning Systems. It also addresses interdisciplinary perspectives combining pedagogy, neuroscience, and computational approaches, as well as real-world implementations across formal and informal learning environments, including schools, higher education, corporate training, and lifelong learning ecosystems.