SOLVING THE LINEAR PROGRAMMING PROBLEMS USING GEOGEBRA SOFTWARE
DOI:
https://doi.org/10.31110/fmo2024.v39i1-02Keywords:
GeoGebra, linear programming, optimization problems, solution algorithmAbstract
Formulation of the problem. The transition to distance learning has forced teachers to use widely computer-based learning tools, which have an unlimited range of possibilities in the study of mathematics. The practical significance of these means is highly significant. Along with their direct application, they also encourage the practical application of acquired theoretical knowledge. However, it is worth maintaining a balance in the issue of using these tools. After all, they cannot independently form a complete system of student knowledge and are an auxiliary means of learning. The article examines the problems of linear programming using the GeoGebra software service, particularly the problem of an effective combination of traditional and modern approaches to the study of the specified subject.
Materials and methods. We also used methods of scientific knowledge: comparative analysis to clarify different views on the problem and determine the direction of the research, systematization, and generalization for formulating conclusions and recommendations.
Results. The authors of this article propose to consider a set of linear programming problems, the solutions of which are combined with traditional methods with the possibility of demonstrating a dynamic model of the considered problem in the GeoGebra environment.
Conclusions. The proposed tasks will help students realize the practical significance of mathematics and thereby contribute to activating their cognitive activity. The article’s material can be used for the preparation and conducting of optional classes, as it allows you to orient yourself in the modern methodical literature on this topic and to look into the creative workshop of leading scientists in mathematics teaching methods. The article contains methodological recommendations and is addressed to teachers, mathematics students of higher education institutions, developers of school mathematics curricula, textbooks on the course of algebra and beginnings of analysis, graduate students, scientists in the field of theory, and methods of teaching mathematics.
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