Analysis and solution of English-language mathematical word problems using artificial intelligence
Abduraxmanovna Mirzayeva Shahlo, Azamatovna Ne'matova Sevinch
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Source: Crossref
Published: Jun 11, 2026
DOI: 10.70413/yo-v04-i57-s51976
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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.
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