TECHNOLOGY-DRIVEN PERSONALIZED LEARNING

Abstract

The article explores personalized learning as a modern educational approach that is becoming a key component of the transformation of education in the context of digitalization. Personalized learning is considered as a method of organizing the educational process that takes into account individual characteristics, needs, and levels of preparedness of each learner. Special attention is given to the role of information systems as the technological foundation for implementing this approach. The study describes the main types of information systems that support personalization, including learning management systems (LMS), adaptive learning platforms, learning analytics services, artificial intelligence tools, as well as mobile and cloud-based solutions. The article outlines the principles of designing individual learning trajectories, the use of adaptive content, automated feedback, analytical dashboards, and recommendation engines. The paper discusses both the benefits and challenges of implementing personalized learning. Among the advantages are increased learner motivation, more effective knowledge acquisition, and the development of autonomy in learning. Challenges include technical limitations of educational institutions, the need to improve the digital competence of educators, ethical concerns related to the use of personal data, and the risk of digital inequality. The article provides examples of personalized educational solutions from both international experience (Khan Academy, Coursera, EdX, Open Learning Initiative) and Ukrainian practice (Human platform, expanded functionality of Moodle). The prospects for the further development of personalization are examined in relation to the integration of intelligent technologies, augmented and virtual reality, microlearning, and the construction of interoperable educational ecosystems. The article is of a scientific and methodological nature and is intended for researchers, educators, and developers of digital learning environments.