IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE FOR ADAPTIVE LEARNING IN SCHOOLS: CHALLENGES AND PROSPECTS
DOI:
https://doi.org/10.35619/pse.vi4.90Keywords:
artificial intelligence, adaptation, implementation, challenges, prospects, development, teacher, education, primary schoolAbstract
The article is devoted to the study of the significance of the implementation of artificial intelligence (AI) technologies in the educational process, in particular in the context of adaptive learning. The potential of AI in transforming traditional teaching and learning methods by personalizing educational trajectories is considered. Emphasis is placed on the use of intelligent educational platforms that are able to adapt the content and teaching methods to the individual needs of students.
The work identifies the main challenges of AI implementation, including the need to build a digital infrastructure, improve the digital competence of teachers, and ensure the ethical and safe use of students' personal data. The article emphasizes the relevance of the development of AI technologies for the modernization of education in the conditions of digital transformation of society. possibilities of using AI to personalize the educational process.
Special attention is paid to the use of intelligent platforms and the automation of routine tasks for teachers. The article also highlights the key challenges of AI implementation, including insufficient digital infrastructure, low level of digital literacy of teachers. The author emphasizes the perspective of AI integration for improving the quality of education, expanding access to educational opportunities, and improving the effectiveness of teachers’ work.
The article states that the implementation of artificial intelligence in PPE opens opportunities for individualization of education, increasing student motivation and forming key competencies. Automation of routine tasks allows teachers to pay more attention to creative work and interaction with students.
The author noted that the main challenges remain the insufficient digital literacy of teachers, the lack of technical infrastructure and the issue of confidentiality of student data.