USE OF ARTIFICIAL INTELLIGENCE AND PYTHON TECHNOLOGIES IN TEACHING PROBABILITY THEORY AND STATISTICS COURSES IN HIGHER EDUCATION
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| Format: | Recurso digital |
| Sprache: | Englisch |
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2026
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| _version_ | 1866902034046779392 |
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| author | Omonova, Gulandam Davlatovna |
| author_facet | Omonova, Gulandam Davlatovna |
| contents | <p class="MsoNormal"><strong> </strong>The article examines modern approaches to teaching probability theory and mathematical statistics courses in higher education institutions, particularly the methodological foundations of using artificial intelligence tools and the Python programming language. The study analyzes the challenges of mathematics education in the context of digital transformation, factors influencing students’ learning outcomes, and possible solutions to these issues. It demonstrates the potential of developing students’ analytical thinking, data processing skills, and professional competencies through the implementation of Python-based practical assignments.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20306814 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | USE OF ARTIFICIAL INTELLIGENCE AND PYTHON TECHNOLOGIES IN TEACHING PROBABILITY THEORY AND STATISTICS COURSES IN HIGHER EDUCATION Omonova, Gulandam Davlatovna artificial intelligence, Python, probability theory, mathematical statistics, digital education, data analysis, competence, higher education. <p class="MsoNormal"><strong> </strong>The article examines modern approaches to teaching probability theory and mathematical statistics courses in higher education institutions, particularly the methodological foundations of using artificial intelligence tools and the Python programming language. The study analyzes the challenges of mathematics education in the context of digital transformation, factors influencing students’ learning outcomes, and possible solutions to these issues. It demonstrates the potential of developing students’ analytical thinking, data processing skills, and professional competencies through the implementation of Python-based practical assignments.</p> |
| title | USE OF ARTIFICIAL INTELLIGENCE AND PYTHON TECHNOLOGIES IN TEACHING PROBABILITY THEORY AND STATISTICS COURSES IN HIGHER EDUCATION |
| topic | artificial intelligence, Python, probability theory, mathematical statistics, digital education, data analysis, competence, higher education. |
| url | https://doi.org/10.5281/zenodo.20306814 |