Self-Learning in AI Era
Received: 2026-05-26
Published: 2026-06-06
Abstract
The article examines the phenomenon of self-learning in the context of the development of artificial intelligence. It analyzes the potential of AI technologies for personalizing the educational process, increasing access to knowledge, and fostering lifelong learning skills. Special attention is given to the advantages and challenges of self-learning, including issues of information overload, digital inequality, and ethical risks. The study demonstrates that artificial intelligence contributes to the transformation of educational models and requires a rethinking of the teacher’s role as a mentor and facilitator. The author concludes that a balanced approach to the implementation of AI in education is necessary for the effective development of future skills.
Keywords
List of references
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This work is licensed under a Creative Commons Attribution 4.0 International License.