Adaptive Learning

Fandy Setyo Utomo (Amikom Purwokerto University, Indonesia)

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.

Topics covered include:

Adaptive Educational Technologies and Intelligent Tutoring Systems; AI-Driven Personalization in E-Learning and Digital Education Platforms; Learning Analytics and Predictive Modeling for Adaptive Instruction; Cognitive and Behavioral Adaptation in Digital Learning Environments; Adaptive Assessment and Feedback Mechanisms; Gamification and Motivation Models in Personalized Learning; Equity, Ethics, and Inclusivity in Adaptive Learning Systems; Cross-Disciplinary Integration of Pedagogy, Neuroscience, and Computational Methods.

AL aims to foster interdisciplinary collaboration among education, computer science, cognitive psychology, and data science, contributing to the advancement of both theory and practice in adaptive learning. The journal emphasizes research that supports flexible, data-driven, and learner-centered education systems capable of responding dynamically to individual needs, behaviors, and contexts. Papers published in AL are grounded in rigorous empirical, theoretical, or applied research and are expected to clearly articulate their contributions to scholarship and practice. Authors are encouraged to explore innovative models of personalization while addressing broader implications such as ethics, inclusivity, and learner engagement. In alignment with global priorities, AL welcomes research that supports sustainable and equitable education and contributes to the advancement of the United Nations 2030 Sustainable Development Goals (SDGs).

Subject Area and Category:

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.

Starting publishing date: 2025

Frequency: Quarterly (March, June, September, and December)

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