Journal Browser

► Journal Browser

Special Issue Editors

Prof. Dr. Mikhail Noskov

E-Mail Website
Guest Editor

Institute of Space and Information Technologies, Siberian Federal University, 660074 Krasnoyarsk, Russia
Interests: mathematics; education; computer science

Prof. Dr. Alexei Semenov

E-Mail Website
Guest Editor

1. Faculty of Mechanics and Mathematics, Lomonosov Moscow State University, 119991 Moscow, Russia
2. Moscow Institute of Physics and Technology, 117303 Moscow, Russia
Interests: decidability of logical theories;definability in structures word combinatorics; symbolic dynamics;almost periodic sequences definability;reducts;svenonius theorem
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Mathematics education at various levels and in various forms is a key factor in the development of the digital economy. It is no less obvious that the quality of mathematics education is absolutely essential for the development of mathematics itself. The digital revolution that began over 100 years ago within mathematics has led to a radical change in the life of humankind, in the ways of understanding the world, communication, and learning. Today, we need modern mathematics and modern goals of mathematical education and ways to achieve them, including those using digital technologies. In addition, computational thinking, including understanding the work of artificial intelligence and the logic of the solutions it offers, is becoming an essential element of literacy for a modern person. Finally, our ideas about the role of mathematical education include the possibility of transferring mental abilities formed in mathematics to various spheres of human activity. All of the above questions give rise to the need for a scientific, including psychological, sociological, and physiological analysis of the processes of studying mathematics. It is necessary to analyze the effectiveness of the tools used, from the simplest manipulatives and calculators to dynamic geometry, computer algebra, data processing tools and machine learning, and augmented reality.

The aim of this Special issue is to provide a prestigious platform to exchange results of empirical research, based on innovative curriculum approaches, learning environments, and activities, as well as national-level and comparative studies.

Prof. Dr. Mikhail Noskov
Prof. Dr. Alexei Semenov
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

mathematics education
computational thinking
digital technologies in education
digital transformation in education
e-learning
distant learning

Published Papers (2 papers)

Download All Papers

Research

Jump to: Review

23 pages, 7018 KiB

Open AccessArticle

Integration of STEM Centers in a Virtual Education Space

by Stanimir Stoyanov, Todorka Glushkova, Veneta Tabakova-Komsalova, Asya Stoyanova-Doycheva, Vanya Ivanova and Lyubka Doukovska

Mathematics 2022, 10(5), 744; https://doi.org/10.3390/math10050744 - 26 Feb 2022

Cited by 6 | Viewed by 1566

Abstract

Training in STEM centers is becoming increasingly relevant in order to meet the new educational needs caused mainly by the rapid speed with which new technologies have been entering our lives in recent years. Existing university e-learning systems can enhance the capacity of these centers by providing shared learning material. This paper presents a distributed educational platform that supports sharable usage of teaching material at university and in STEM centers in secondary schools. The architecture of the platform is also presented including two basic components. The university e-learning environment operates as a back-end and the front-end component is located in the STEM center. Furthermore, the implemented prototype of the platform is also discussed in the article. The use of the platform is demonstrated by two educational games. The platform is expanded with four educational robots to increase the attractiveness of the educational process. Full article

(This article belongs to the Special Issue Digital Transformation of Mathematics Education)

► Show Figures

Figure 1

Review

Jump to: Research

16 pages, 1296 KiB

Open AccessReview

Synthesis of Modeling, Visualization, and Programming in GeoGebra as an Effective Approach for Teaching and Learning STEM Topics

by Rushan Ziatdinov and James R. Valles, Jr.

Mathematics 2022, 10(3), 398; https://0-doi-org.brum.beds.ac.uk/10.3390/math10030398 - 27 Jan 2022

Cited by 16 | Viewed by 8890

Abstract

GeoGebra is an interactive geometry, algebra, statistics, and calculus application designed for teaching and learning math, science, and engineering. Its dynamic interface allows its users to accurately and interactively visualize their work, models, and results. GeoGebra employs the synthesis of three key features: modeling, visualization, and programming (MVP). Many studies have shown the positive effects of GeoGebra on the efficiency and effectiveness of learning and teaching topics related to science, technology, engineering, and mathematics. In this study, we discuss how GeoGebra provides an environment for learning that is very interactive and collaborative between the learner and the instructor. We also show how integrating GeoGebra into the learning scheme can help improve the skills and knowledge of school and university students in numerous advanced mathematical courses, such as calculus, mathematical statistics, linear algebra, linear programming, computer-aided design, computer-aided geometric design, analytic and projective geometry, and graphical representation. Therefore, this study shows the effectiveness of GeoGebra and its MVP key features in science and engineering, particularly in topics related to mathematics. Each key feature of GeoGebra is thoroughly analyzed, and further analyses, along with how GeoGebra can be helpful in different topics, are discussed. Full article

(This article belongs to the Special Issue Digital Transformation of Mathematics Education)

► Show Figures