The Method of Using the Maxima System for Operations Research Learning

- Shyshkina, M.P. and Kohut, U.P (2019) The Method of Using the Maxima System for Operations Research Learning Proceedings of the 15th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume II: Workshops, Kherson, Ukraine, June 12-15, 2019 (2393). pp. 81-92. ISSN 1613-0073

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Abstract

In the article, the problems of using the systems of computer mathematics (SCM) as a tool to support the teaching and research activities in the field of informatics and mathematics disciplines training are investigated. The role of SCM in the process of bachelors of informatics training and special aspects of pedagogical applications of these systems in the “Operations research” study is defined. The aim of the article is the justification of the Maxima system use of in the process of “Operations research” teaching in pedagogical university as enchasing the investigative approach to learning and determination of the perspective ways of its introduction. The main characteristics of SCM Maxima and the ways of access organizing to it both in local and the cloud-oriented implementation are considered. The results of the pedagogical experiment on the Maxima application to support the investigative approach to operation research study and the analysis of its conclusions are reported.

Item Type:	Article
Keywords:	“Operations research”, Maxima, learning tools, investigative approach, cloud computing, mathematical disciplines, learning environment, educational university
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.7 Computer communication. Computer networks > 004.77 General networking applications and services Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 378 Higher education. Universities. Academic study
Divisions:	Institute for Digitalisation of Education > Department of Cloud-Oriented Systems and Artificial Intelligence in Education
Depositing User:	Марія Павлівна Шишкіна
Date Deposited:	17 Sep 2019 10:23
Last Modified:	17 Sep 2019 10:23
URI:	https://lib.iitta.gov.ua/id/eprint/717046

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