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USING THE PYTHON IDLE DEVELOPMENT AND TRAINING ENVIRONMENT FOR STUDENTS TO LEARN PROBABILITY

Electronic Means of Support of Education , UDC: 37.013.75 DOI: 10.25688/2072-9014.2023.63.1.07

Authors

  • Popov Nikolai Ivanovich Doctor of Pedagogy, PhD (Physical and Mathematical Sciences), docent
  • Bolotin Eduard S.

Annotation

The article discusses the use of an integrated environment for the development and teaching of Python IDLE in the professional training of future teachers of mathematics and computer science. The research method of teaching students proposed in the work allows us to analyze solutions to problems in probability theory from different points of view. The purpose of the study: the implementation of a methodological approach in teaching mathematics to future teachers, based on the use of information technology. Research objective: analysis of the relationship between mathematical and software models for solving problems in probability theory.

How to link insert

Popov, N. I. & Bolotin, E. S. (2023). USING THE PYTHON IDLE DEVELOPMENT AND TRAINING ENVIRONMENT FOR STUDENTS TO LEARN PROBABILITY Bulletin of the Moscow City Pedagogical University. Series "Pedagogy and Psychology", , 79. https://doi.org/10.25688/2072-9014.2023.63.1.07
References
1. 1. Grigoriev, S. G., Grinshkun, V. V., & Makarov, S. I. (2002). Methodological and technological foundations of the creation of electronic learning tools. Monograph. Samara: Samara State Academy of Economics. 110 p. (In Russ.).
2. 2. Brovka, N. V. (2020). Didactic features of the organization of computer learning tools for students of mathematical specialties. Computer Science and Education, 1(310), 34–41. (In Russ.).
3. 3. Noskova, T. N., Pavlova, T. B., & Yakovleva, O. V. (2017). Tools of pedagogical activity in the electronic environment. Higher Education in Russia, 8, 121–130. (In Russ.).
4. 4. Bulychev, V. A., & Kalmanovich, V. V. (2009). Mathematical modeling in the study of elements of probability theory. Mathematics at School, 3, 23–28. (In Russ.).
5. 5. Popov, N. I. (2006). A guide to solving problems in probability theory and mathematical statistics for psychologists. Textbook. Yoshkar-Ola: MarGU. 76 p. (In Russ.).
6. 6. Gmurman, V. E. (2003). Probability theory and mathematical statistics. Textbook for universities. Moscow: Higher School. 479 p. (In Russ.).
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