FOSTERING STUDENTS’ CREATIVE PROBLEM-SOLVING SKILLS IN MATHEMATICS THROUGH GENERATIVE ARTIFICIAL INTELLIGENCE TOOLS
PDF

Keywords

generative artificial intelligence, mathematics education, creative thinking, mathematical problem solving, creative competence, ChatGPT, innovative educational technologies.

How to Cite

KALANDAROV UTKIR. (2026). FOSTERING STUDENTS’ CREATIVE PROBLEM-SOLVING SKILLS IN MATHEMATICS THROUGH GENERATIVE ARTIFICIAL INTELLIGENCE TOOLS. INTERNATIONAL CONFERENCE ON MODERN RESEARCH AND SCIENTIFIC INNOVATION, 1(5), 271-279. https://doi.org/10.5281/zenodo.20561148

Abstract

The rapid advancement of digital transformation processes and the integration of generative artificial intelligence (AI) technologies into education are creating new opportunities for improving the content and methodology of mathematics education. In particular, generative AI tools such as ChatGPT, Gemini, Claude, and Copilot expand students’ opportunities to engage in independent thinking, develop multiple solution strategies, and demonstrate creative approaches while solving mathematical problems. Contemporary research indicates that, alongside its positive impact on learning outcomes, the effective implementation of generative AI requires the development of appropriate pedagogical mechanisms and instructional frameworks. This article analyzes the theoretical and pedagogical foundations for fostering students’ creative approaches to solving mathematical problems through the use of generative AI tools and proposes an innovative methodological model aimed at enhancing creative problem-solving competencies in mathematics education.

PDF

References

1. M.P.Masharipov “Matematik masalalarni yechishda matematik paket dasturlaridan foydalanish”.T.:2021 yil, o’quv qo’llanma.

2. S.S.Jumanazarov “Tinglovchilarni innovatsion faolayatga yo’naltirish”.T.:2021 yil

3. Downes, s. (2010). New technology options for instructional design. Journal of educational technology systems, 38(4), 405-420.

4. Luckin, r., holmes, w., griffiths, m., & forcier, l. B. (2023). Intelligence unleashed: an argument for ai in education. London: pearson.

5. Siemens, g. (2005). Connectivism: a learning theory for the digital age. International journal of instructional technology and distance learning, 2(1), 3-10.

6. William, d. (2018). Embedded formative assessment. Solution tree press.