DEVELOPMENT OF PROFESSIONAL COMPETENCE OF FUTURE MATHEMATICS TEACHERS DURING STUDYINGPROBABILITY THEORY

• Oleksandr Kraychuk

  Rivne State University for the Humanities

  https://orcid.org/0000-0002-5987-0460

• Mykhailo Tymchuk

  Rivne State University for the Humanities

  https://orcid.org/0000-0003-1793-5999

The article deals with improving the quality of professional training of mathematics teachers through the implementation of the professional direction of the course of probability theory and mathematical statistics. In particular, the article analyzes the significance and place of the academic discipline “Probability Theory and Mathematical Statistics” in the structure of training bachelors of higher education in the specialty A4.04 “Secondary Education (Mathematics)”. The research characterizes the content and experience of studying the course in the process of training bachelors at the Rivne State University of the Humanities. The article determines the content, goal, objectives of the course, and expected results of studying the academic discipline.

The academic discipline “Probability Theory and Mathematical Statistics” is a mandatory component of the bachelor’s degree program in the specialty A4.04 “Secondary Education (Mathematics)”. The course is usually taught in senior years, as it is based on fundamental knowledge of further mathematics.

Mastering the content and methods of the probability theory contributes to the formation of a stochastic culture of thinking in future teachers, which, in turn, allows them to adequately perceive the world around them as a system dominated by stochastic patterns. Awareness of this will allow teachers to understand how modern science works, as well as explain it to their students. Mathematical statistics tools will allow future teachers to professionally analyze data in psychological and pedagogical research, objectively evaluate learning outcomes, correctly interpret student success, and identify real-life patterns in the learning process. The use of general and specialized software during training significantly speeds up the processing of results and improves the quality of learning.

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