Author:
Kuznetsova Elena,Zhbanova Natalia
Abstract
Abstract
The professional training of mathematics students is notable for the large volume and complexity of the content of educational material. In this regard, the problem of conceptual understanding is relevant. Since many concepts in mathematics have a high level of abstraction, studying them, it is essential to create an image of an object through various forms of knowledge representation. Computer simulation in the study of probability theory and its applications (stochastics) help students understand the essence of random phenomena and forms the ability to analyze statistical data. Students whose curriculum includes a computer simulations workshop in the study of stochastics, not only solve problems better but also higher evaluate the value of probabilistic ideas and methods and have a lower level of anxiety. Due to the use of simulations in teaching mathematics students on stochastics, we use a computer as a means of automation of calculations, means of learning, and a tool of knowledge, which corresponds to the principle of the integrated use of information computer technology in the educational process.
Subject
General Physics and Astronomy
Reference20 articles.
1. A multidimensional approach to training mathematics students at a university: improving the efficiency through the unity of social psychological and pedagogical aspects;Kuznetsova;Int. J. Math. Educ. Scien. Techn.,2018
2. Evaluation and interpretation of student satisfaction with the quality of the university educational program in applied mathematics;Kuznetsova;Teach. Math. Applic.: Int. J. IMA,2019
3. Mathematical modelling in science and mathematics education;Teodoro;Comp. Phys. Communic.,2011
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Computer Modeling, Simulation and Visualization in Teaching Probability to Mathematics Students;2022 2nd International Conference on Technology Enhanced Learning in Higher Education (TELE);2022-05-26
2. Introduction to the theory of stochastic processes: Studying the basic concepts;PROCEEDINGS OF THE II INTERNATIONAL SCIENTIFIC CONFERENCE ON ADVANCES IN SCIENCE, ENGINEERING AND DIGITAL EDUCATION: (ASEDU-II 2021);2022