Artificial Intelligence as a Catalyst for Autonomous Learning
Abstract
The article examines the transformative role of artificial intelligence (AI) in supporting autonomous learning within modern educational environments. It highlights key advantages of AI-driven systems — personalized learning trajectories, continuous access to learning support, real-time assessment and feedback, interactive learning experiences, and broadened access to educational resources — and discusses critical challenges such as digital inequality, data privacy, overdependence on technology, and variability in content quality. The paper concludes by outlining future technological developments (enhanced personalization, advanced language processing, and immersive virtual environments) and argues that successful AI integration requires balanced implementation strategies, ethical data governance, and cooperation among educators, developers, and policymakers.
Keyword
References
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This work is licensed under a Creative Commons Attribution 4.0 International License.
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