ANALYSIS AND SOLUTION OF ENGLISH-LANGUAGE MATHEMATICAL WORD PROBLEMS USING ARTIFICIAL INTELLIGENCE

Mualliflar

  • Shahlo Abduraxmanovna Mirzayeva Senior Lecturer, Department of Mathematics and Information Technologies in Education Shahrisabz State Pedagogical Institute, Shahrisabz, Uzbekistan Muallif
  • Sevinch Azamatovna Ne'matova Undergraduate Student, Faculty of Mathematics Education Shahrisabz State Pedagogical Institute Muallif

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https://doi.org/10.5281/zenodo.20640924

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artificial intelligence, mathematical word problems, English-language mathematics, ChatGPT, Wolfram Alpha, educational technology, Natural Language Processing, problem-solving, Uzbekistan.

Abstrak

This article examines the analysis and solution of English-language mathematical word problems using artificial intelligence (AI) tools. The study investigates the capacity of modern AI platforms — including ChatGPT-4o, Wolfram Alpha, and Google Gemini — to comprehend, mathematically model, and solve word problems presented in natural language. The roles of Natural Language Processing (NLP) and machine learning algorithms in the educational process are analyzed. Based on empirical testing of 120 word problems and a controlled pedagogical experiment involving 40 undergraduate students, the effectiveness of AI tools is compared with traditional solution methods. The experimental group, trained with AI assistance, demonstrated a 56.4% improvement in post-test scores compared to 27.1% for the control group (p = 0.003). The article further discusses the pedagogical implications, limitations, and future directions for AI integration in mathematics education.

Iqtiboslar

Polya, G. (1945). How to Solve It: A New Aspect of Mathematical Method. Princeton University Press. https://doi.org/10.1515/9781400828678

Barwell, R. (Ed.). (2009). Multilingualism in Mathematics Classrooms: Global Perspectives. Multilingual Matters.

Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., … Amodei, D. (2020). Language models are few-shot learners. Advances in Neural Information Processing Systems, 33, 1877–1901.

Government of Uzbekistan. (2020). Digital Uzbekistan 2030 Strategy. Tashkent: Official Legislative Database of the Republic of Uzbekistan.

Verschaffel, L., Schukajlow, S., Star, J., & Van Dooren, W. (2020). Word problems in mathematics education: A survey. ZDM Mathematics Education, 52(1), 1–16. https://doi.org/10.1007/s11858-020-01130-4

Wei, J., Wang, X., Schuurmans, D., Bosma, M., Xia, F., Chi, E., Le, Q., & Zhou, D. (2022). Chain-of-thought prompting elicits reasoning in large language models. Advances in Neural Information Processing Systems, 35. https://doi.org/10.48550/arXiv.2201.11903

Huang, J., Chen, X., Mishra, S., Zheng, H. S., Yu, A. W., Song, X., & Zhou, D. (2023). Large language models cannot self-correct reasoning yet. arXiv preprint arXiv:2310.01848. https://doi.org/10.48550/arXiv.2310.01848

Kazemitabar, M., Labutov, I., & Basu, S. (2021). Natural language generation for math word problems. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021), 1–11.

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education — where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0

Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B. P. T. (2023). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28(4), 4221–4241. https://doi.org/10.1007/s10639-022-11316-w

Yusupova, N. (2023). Digital technologies in mathematics education. Journal of Pedagogy and Psychology, 4(2), 45–52.

Hasanov, J. (2024). Artificial intelligence and education: Uzbekistan experience. Modern Education, 3(1), 12–19.

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2026-06-11

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Iqtibos keltirish tartibi

Shahlo, A. M., & Sevinch, A. N. (2026). ANALYSIS AND SOLUTION OF ENGLISH-LANGUAGE MATHEMATICAL WORD PROBLEMS USING ARTIFICIAL INTELLIGENCE. Yosh Olimlar, 4(57), 51-56. https://doi.org/10.5281/zenodo.20640924
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