INTEGRATING ARTIFICIAL INTELLIGENCE TECHNOLOGIES TO FOSTER LOGICAL THINKING IN MATHEMATICS EDUCATION
Keywords:
Artificial intelligence, logical thinking, mathematics education, natural language processing, automated analysis, automated evaluation, AI-based assessment, mathematical reasoning.Abstract
In the context of educational digitalization and the rapid advancement of artificial intelligence (AI), the development of students’ logical thinking has become a central goal of modern mathematics education. Beyond procedural skills, students must be able to analyze, justify, and construct reasoned solutions independently. Particular importance is given to Natural Language Processing (NLP) and AI-based automated analysis and evaluation systems, which enable the examination of students’ reasoning expressed in natural language. NLP can analyze written and verbal explanations, identify logical structures, detect misconceptions, and provide meaningful feedback, while automated evaluation systems offer objective and timely assessment of problem-solving strategies and argumentation quality. Thus, this study aims to provide a scientific and methodological justification for the effective use of these AI tools to support the development of logical thinking in mathematics education within a digital learning environment.
