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THE SYSTEM OF COMPUTER ASSISTED LEARNING IN TEACHING MATHEMATICS COURSES TO STUDENTS OF ECONOMIC SPECIALIZATION

THE SYSTEM OF COMPUTER ASSISTED LEARNING IN TEACHING MATHEMATICS COURSES TO STUDENTS OF ECONOMIC SPECIALIZATION

Abstract

One of the successfully developing innovations in the educational process is distance learning, that is a qualitatively new and progressive type of students` knowledge acquisition by using modern information and communication educational technologies without been physically present at a school of higher education. The aim of research is to identify the relationship between the success and quality of professional and vocational training of future specialists in Economics within the distance learning, that depends on effective teaching methods and organization of this process. Such theoretical research methods as analysis of the literature in Pedagogics and Professional training in Higher Education in order to justify the need of using the latest modern information and communication technologies in the process of distance learning, generalization of the results of national and foreign researches on this issue; and some empirical methods, such as pedagogical observations, conversations with professors and students of higher education on the use of computer mathematical systems: Mathematica, Maple, MatLab, MathCAD in the study of Mathematics courses were applied in the research. We determined that the significant efficiency of the distance teaching is due to the use of computer mathematical systems that simplify and automate calculations, thus opening up great opportunities for direct economic analysis, solving economic problems, helping to deepen professional knowledge and skills of students of economic specializations. It is concluded that the solution of the problem of qualitative increase of the level of math and professional training of future economists in general depends on the successful development and functioning of the methodological component of teaching Mathematics courses to students of higher education schools.

Однією з новацій, що успішно розвиваються, в організації навчального процесу є дистанційне навчання – якісно новий і прогресивний вид отримання знань студентами за допомогою сучасних інформаційних та комунікаційних освітніх технологій на відстані від закладу вищої освіти. Мета нашої статті - виявити зв’язок успішності та якості підготовки майбутнього фахівця в галузі економіки, що навчається дистанційно, яка залежить від ефективної методики навчання та організації цього процесу. Опис застосованих методів дослідження. Теоретичні: аналіз педагогічної та спеціальної літератури з метою обґрунтування необхідності використання новітніх сучасних інформаційно-комунікаційних технологій в процесі дистанційного навчання; узагальнення результатів вітчизняних та закордонних досліджень із зазначеної проблеми. Емпіричні: педагогічні спостереження, бесіди з викладачами та здобувачами вищої освіти щодо використання комп’ютерних математичних систем: Mathematica, Maple, MatLab, MathCAD під час вивчення математичних дисциплін. Зроблено висновок про те, що вирішення проблеми якісного підвищення рівня математичної та загальної професійної підготовки майбутніх економістів загалом залежить від успішного розвитку та функціонування методичного компонента навчання математичних дисциплін студентів ЗВО.

Keywords

distance learning, system of computer assisted learning, information and communication technologies, math training, teaching methods., дистанційне навчання, комп’ютерні математичні системи, інформаційно-комунікаційні технології, математична підготовка фахівців, методика навчання.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average