THE PEDAGOGICAL POTENTIAL OF NATURAL LANGUAGE PROCESSING AND AI-BASED AUTOMATED ANALYSIS SYSTEMS FOR DEVELOPING LOGICAL THINKING IN MATHEMATICS EDUCATION
Abstract
In the context of digitalization of education and the rapid development of artificial intelligence (AI) technologies, the problem of developing students’ logical and analytical thinking becomes particularly important. Modern mathematics education requires not only mastery of algorithmic skills but also the ability to reason, argue, and find solutions independently. The application of AI technologies in mathematics education makes it possible to reorganize the learning process - to make it adaptive, interactive, and oriented toward the cognitive characteristics of students. AI tools such as Intelligent Tutoring Systems (ITS), Computerized Dynamic Assessment (CDA), Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and chatbots provide new forms of interactive engagement, analytical observation, and reflective learning. Therefore, the relevance of this study lies in the need for a scientific and methodological understanding of the role of AI technologies in developing logical thinking during mathematics education and in justifying the pedagogical conditions for their effective use in a digital learning environment.