Authors
- Dobrovolskaya Natalia Yu. Candidate of Pedagogical Sciences, Associate Professor
- Seidova Natalia M. Candidate of Physical and Mathematical Sciences
Annotation
The article is devoted to the study of the effectiveness of the use of generative artificial intelligence (AI) methods, in particular, the approaches of Chain-of-Thought (CoT)
and Diagram-of-Thought (DoT), to improve the quality of teaching mathematical analysis in higher education. The effectiveness of the approaches was assessed according to three criteria: the speed of learning the material, reducing the number of errors and feedback from students. The results obtained confirm the prospects of using generative AI methods in mathematical education. The article offers practical recommendations for the implementation of the considered approaches in the educational process and outlines areas for further research in the field of personalized mathematics education.
How to link insert
Dobrovolskaya, N. Y. & Seidova, N. M. (2025). GENERATIVE ARTIFICIAL INTELLIGENCE METHODS AS A TOOL FOR INCREASING THE EFFICIENCY OF TEACHING MATHEMATICAL ANALYSIS Bulletin of the Moscow City Pedagogical University. Series "Pedagogy and Psychology", № 4 (74), 89. https://doi.org/10.24412/2072-9014-2025-474-89-104
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