PERSONALIZED LEARNING USING ARTIFICIAL INTELLIGENCE

The relevance of the topic lies in the need to modernize the educational process in accordance with the individual needs of education seekers. Artificial intelligence creates new opportunities for personalizing learning, which is a key direction in the development of modern education. The purpose of the article: to explore the possibilities of using artificial intelligence to personalize learning in today’s conditions. Methodology: analysis and synthesis of scientific literature to determine the essence of personalized learning; analysis of educational strategies using artificial intelligence; systematization of information about digital tools and their capabilities; a predictive method to determine the prospects for implementing technologies in education. The article reveals the essence of personalized learning, which in the context of modern dimensions is considered as a modern educational approach; it focuses on the individual characteristics of the education seeker, his needs, interests, level of training and style of knowledge acquisition. The results obtained demonstrate that the use of artificial intelligence in personalized learning allows taking into account individual needs, style of knowledge acquisition and level of training of education seekers. The main strategies of personalized learning using artificial intelligence are outlined (adaptive learning, differentiated learning, predictive learning, game-based learning strategy, inclusive learning, self-directed learning, emotional engagement, collaboration, and communication strategies) and specific digital tools that help implement them are analyzed. The advantages and challenges of implementing personalized learning using artificial intelligence are identified. The practical value of the article lies in identifying effective strategies for implementing personalized learning using artificial intelligence, which helps adapt the educational process to the needs of each student. Conclusions. It was found that personalized learning using artificial intelligence is an important step towards modernizing the educational process. The successful implementation of personalized learning using artificial intelligence will contribute to the creation of a flexible, inclusive, and future-oriented education system. Key words: artificial intelligence, personalized learning, digital tools, individualization of learning, adaptive learning, differentiated learning, predictive learning, game-based learning strategy, inclusive learning.

Authors

Publication Details

Journal
Scientific Herald of Sivershchyna Series Education Social and Behavioural Sciences
Published
2025-04-04
DOI
https://doi.org/10.32755/sjeducation.2025.01.139
Citations
1
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
2.48
Controls
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article

PERSONALIZED LEARNING USING ARTIFICIAL INTELLIGENCE

Marianna Shvardak, Oksana Popovych
1 citations
Scientific Herald of Sivershchyna Series Education Social and Behavioural Sciences
Intelligent Tutoring Systems and Adaptive Learning
2.48
article

PERSONALIZED LEARNING USING ARTIFICIAL INTELLIGENCE

Marianna Shvardak, Oksana Popovych
article en
1 citations

Abstract

The relevance of the topic lies in the need to modernize the educational process in accordance with the individual needs of education seekers. Artificial intelligence creates new opportunities for personalizing learning, which is a key direction in the development of modern education. The purpose of the article: to explore the possibilities of using artificial intelligence to personalize learning in today’s conditions. Methodology: analysis and synthesis of scientific literature to determine the essence of personalized learning; analysis of educational strategies using artificial intelligence; systematization of information about digital tools and their capabilities; a predictive method to determine the prospects for implementing technologies in education. The article reveals the essence of personalized learning, which in the context of modern dimensions is considered as a modern educational approach; it focuses on the individual characteristics of the education seeker, his needs, interests, level of training and style of knowledge acquisition. The results obtained demonstrate that the use of artificial intelligence in personalized learning allows taking into account individual needs, style of knowledge acquisition and level of training of education seekers. The main strategies of personalized learning using artificial intelligence are outlined (adaptive learning, differentiated learning, predictive learning, game-based learning strategy, inclusive learning, self-directed learning, emotional engagement, collaboration, and communication strategies) and specific digital tools that help implement them are analyzed. The advantages and challenges of implementing personalized learning using artificial intelligence are identified. The practical value of the article lies in identifying effective strategies for implementing personalized learning using artificial intelligence, which helps adapt the educational process to the needs of each student. Conclusions. It was found that personalized learning using artificial intelligence is an important step towards modernizing the educational process. The successful implementation of personalized learning using artificial intelligence will contribute to the creation of a flexible, inclusive, and future-oriented education system. Key words: artificial intelligence, personalized learning, digital tools, individualization of learning, adaptive learning, differentiated learning, predictive learning, game-based learning strategy, inclusive learning.

Scientific Herald of Sivershchyna Series Education Social and Behavioural SciencesVol. 2025(1)
Openalex Percentile: Top 11%
Intelligent Tutoring Systems and Adaptive Learning
2.48
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