Advances in Linear Algebra & Matrix Theory

Volume 12, Issue 2 (June 2022)

ISSN Print: 2165-333X   ISSN Online: 2165-3348

Google-based Impact Factor: 0.14  Citations  

Intelligent Tutoring System of Linear Programming

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DOI: 10.4236/alamt.2022.122003    392 Downloads   1,530 Views  
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ABSTRACT

There is a growing technological development in intelligent teaching systems. This field has become interesting to many researchers. In this paper, we present an intelligent tutoring system for teaching mathematics that helps students understand the basics of linear programming using Linear Program Solver and Service for Solving Linear Programming Problems, through which students will be able to solve economic problems. It comes down to determining the minimum or maximum value of a linear function, which is called the objective function, according to pre-set limiting conditions expressed by linear equations and inequalities. The goal function and the limiting conditions represent a mathematical model of the observed problem. Working as a professor of mathematics in high school, I felt the need for one such work and dealing with the study of linear programming as an integral part of mathematics. There are a number of papers in this regard, but exclusively related to traditional ways of working, as stated in the introductory part of the paper. The center of work as well as the final part deals with the study of linear programming using programs that deal with this topic.

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Hasic, A. and Jukic, S. (2022) Intelligent Tutoring System of Linear Programming. Advances in Linear Algebra & Matrix Theory, 12, 39-66. doi: 10.4236/alamt.2022.122003.

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