Artificial intelligence in self-learning: new horizons of education

Abstract

This article examines the role of artificial intelligence (AI) in self-learning. Self-learning is becoming an important skill in the era of digitalization. The use of AI in self-learning opens up new perspectives for improving the effectiveness and accessibility of education. AI is able to adapt to users, help solve tasks more efficiently, find answers to questions, provide personalized learning. The authors defined the relevance, goals and objectives of the study, analyzed the works of foreign and domestic scientists on the research. Considering that each student is unique in their abilities and needs, traditional teaching methods may not be sufficient to accommodate all these differences. However, AI technologies can provide self-learning by effectively adapting educational materials to the individual requirements of each student in each case. The article presents main promising directions of using AI in self-learning: personalized learning paths, game-based learning platforms, virtual assistants, automatic assessment system. During the study, survey was conducted among students to assess their application of AI technologies, which showed students’ interest in AI and its potential use in self-learning. To achieve the obtained results, different theoretical, empirical, statistical methods were applied such as literature analysis, survey, the Mann-Whitney U-test, analysis of variance (Anovatest).