The impact of artificial intelligence on education and learning processes
DOI:
https://doi.org/10.51660/ripie61363Keywords:
artificial intelligence, learning processes, teaching innovation, ethics in AIAbstract
This paper aims to analyze the impact of artificial intelligence (AI) on modern education and learning processes, both from a theoretical and empirical perspective. The first part discusses the essence of AI, its definitions, main types, and the key opportunities and risks associated with its implementation across various areas of social life. Particular attention is given to education as a space for technological adaptation and the development of innovative teaching methods. The second chapter examines the influence of AI on the education system, highlighting its dual role as both a challenge and an opportunity for teachers, students, and educational institutions. Various applications of AI technologies in teaching are presented, including intelligent tutoring systems, personalized learning tools, and automated assessment solutions. The role of educational theory in the design of machine learning algorithms is also discussed, along with a brief historical overview of AI's development and integration into educational environments. The empirical section presents the results of original research analyzing statistical correlations between the use of AI and the quality of educational and learning processes. The findings indicate that the integration of AI-based tools enhances individualized learning, increases student motivation, and supports cognitive skill development. However, it also reveals the need for critical reflection on the ethical and responsible use of these technologies. The conclusions confirm that artificial intelligence is becoming an integral component of modern education, necessitating updates to curricula, teacher training programs, and the creation of ethical and legal frameworks governing its application.
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