The article examines strategies for enhancing learning outcomes in higher education through AI and Python tools.
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.
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Gulandam Davlatovna Omonova (2026) studied this question.