METHODOLOGICAL ASPECTS OF DEVELOPING APPLICATIONS FOR SCORM PACKAGES IN THE MOODLE LMS USING LINEAR MODELS IN ECONOMICS

Abstract

The article analyzes the issues of preparing students to solve practice-oriented problems.
Attention is drawn to the students’ skills in solving refined mathematical problems and the lack of a sufficient level of preparation for carrying out logical reasoning at the stage of drawing up mathematical models. Trends in modern higher education are also analyzed: digitalization of education, reduction of the budget for classroom workload in higher mathematics. The conclusion is made about the need to develop methodological materials for the active introduction of complex electronic educational resources into the educational process.
The purpose of the work is to show with specific examples the methodology for organizing training using SCORM technologies. The article contains the author’s SCORM applications on linear models in economics. It is proposed to divide the educational material of the applications into parts: a block of reference information and repetition of theoretical material from the course of higher mathematics; a block of tasks introducing students to the meaningful formulation of an applied problem and its solution; a block of problems taking into account the profile orientation of the mathematical model for independent solution. The author focuses on the possibilities of the proposed methodology in creating comfortable conditions for teaching students to solve practiceoriented problems: systematization of material, transfer of knowledge from one area to another, building individual learning trajectories, providing remote support for the educational process. This technique can be adapted to solve practice-oriented problems not only from economics, but also from other cycles of disciplines.
The author of the article came to the following conclusions: the proposed approaches to developing applications for SCORM packages aimed at solving practice-oriented problems create additional opportunities for students to develop mathematical modeling skills and high-quality mastery of mathematical knowledge in general.