Adaptive Learning

Adaptive Learning

Earlycite Article

CURRENT ISSUE

Vol 1 No 4
November 2025

Adaptive Learning (AL) is an international peer-reviewed journal dedicated to the study and advancement of adaptive and personalized learning systems powered by digital technologies. The journal publishes high-quality research on adaptive learning models, artificial intelligence in education, learning analytics, educational data mining, intelligent tutoring systems, and data-driven personalization in online, blended, and lifelong learning environments, aiming to support evidence-based innovation and improve the effectiveness, inclusivity, and sustainability of modern educational practices.

Most Viewed Article Adaptive Learning Through Multi-Source Educational Data Fusion Using Graph Neural Networks Conversational Agents for Adaptive Learning: Generative Instruction, Reinforcement Fine-Tuning, and Behavioral Optimization in Digital Education Predictive Modeling of Student Performance in Adaptive Learning Using Ensemble Machine Learning and Behavioral Analytics Neural Adaptive Learning Framework Based on Behavioral Sequences and Latent Cognitive States for Personalized Digital Instruction View more >	Our Commitment to Sustainable Development Goals (SDGs) Adaptive Learning (AL) aligns with United Nations 2030 Sustainable Development Goals (SDGs), particularly SDG 4 (Quality Education), SDG 9 (Industry, Innovation and Infrastructure), and SDG 10 (Reduced Inequalities), by promoting responsible, AI-driven adaptive learning research that supports inclusive, innovative, and sustainable educational systems.	Indexing and metrics Latest issue updates

		Journal information Editor(s): Fandy Setyo Utomo View full editorial team

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Adaptive Learning

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