The Role of AI Agents in Personalising the Educational Process and Improving the Quality of Education

The study aims to determine the role of intelligent agents in personalizing the educational process and improving the quality of education. The purpose of the article is to analyze the advantages, challenges, and barriers to introducing artificial intelligence in the educational sphere and to develop recommendations for its integration into the modern educational system. Methods: To achieve this goal, content analysis, comparative analysis of scientific approaches to introducing artificial intelligence in the educational process, and systematization of modern educational innovations were used. Results: The study found that intelligent agents help to adapt educational content to the needs of each student, increasing motivation and quality of learning. In particular, integrating virtual tutors and automating routine tasks significantly reduces teachers' workload, allowing them to focus on the creative aspects of their work. In addition, the introduction of artificial intelligence technologies is effective in creating interactive learning environments that stimulate the development of students' critical thinking and creativity. At the same time, key barriers have been identified: high financial costs, technical difficulties, ethical challenges, and insufficient training of teachers in the use of new technologies. The recommendations developed include creating national strategies to support artificial intelligence, modernization of infrastructure, specialized training for teachers, and implementing grant programs. Conclusions: The findings confirm artificial intelligence's significant potential to improve the quality of education. At the same time, technical, financial, and organizational challenges must be considered to ensure the effective integration of technology into the educational process. Further research should be devoted to analyzing the long-term impact of artificial intelligence on students' critical thinking and cognitive abilities and the motivational aspects of pedagogical activity in the context of automated educational processes.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-30
DOI
https://doi.org/10.5281/zenodo.14598964
Citations
1
Primary Topic
Artificial Intelligence in Education
Type
article
Field-Weighted Citation Impact
0.78
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article

The Role of AI Agents in Personalising the Educational Process and Improving the Quality of Education

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Education
0.78
article

The Role of AI Agents in Personalising the Educational Process and Improving the Quality of Education

article en
1 citations

Abstract

The study aims to determine the role of intelligent agents in personalizing the educational process and improving the quality of education. The purpose of the article is to analyze the advantages, challenges, and barriers to introducing artificial intelligence in the educational sphere and to develop recommendations for its integration into the modern educational system. Methods: To achieve this goal, content analysis, comparative analysis of scientific approaches to introducing artificial intelligence in the educational process, and systematization of modern educational innovations were used. Results: The study found that intelligent agents help to adapt educational content to the needs of each student, increasing motivation and quality of learning. In particular, integrating virtual tutors and automating routine tasks significantly reduces teachers' workload, allowing them to focus on the creative aspects of their work. In addition, the introduction of artificial intelligence technologies is effective in creating interactive learning environments that stimulate the development of students' critical thinking and creativity. At the same time, key barriers have been identified: high financial costs, technical difficulties, ethical challenges, and insufficient training of teachers in the use of new technologies. The recommendations developed include creating national strategies to support artificial intelligence, modernization of infrastructure, specialized training for teachers, and implementing grant programs. Conclusions: The findings confirm artificial intelligence's significant potential to improve the quality of education. At the same time, technical, financial, and organizational challenges must be considered to ensure the effective integration of technology into the educational process. Further research should be devoted to analyzing the long-term impact of artificial intelligence on students' critical thinking and cognitive abilities and the motivational aspects of pedagogical activity in the context of automated educational processes.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 16%
Artificial Intelligence in Education
0.78
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