Yosh olimlar 4-jild 57-son (2026) · 51–56-betlar

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

Shahlo, Abduraxmanovna Mirzayeva, Sevinch, Azamatovna Ne'matova

DOI: 10.5281/zenodo.20640924 · Manbada o'qish → · PDF (manba serverida)

Annotatsiya

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.

artificial intelligencemathematical word problemsEnglish-language mathematicsChatGPTWolfram Alphaeducational technologyNatural Language Processingproblem-solvingUzbekistan.artificial intelligence

Metadata manbasi: jurnal OAI-PMH arxivi · Sindex to'liq matnni saqlamaydi, manbaga havola beradi.