Analysis of the Pedagogical Experiment Results on the Implementation of Distance Learning Technologies in the Teaching of Mathematical Disciplines for Technical Specialties of Universities

 
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Abstract

The article considers the results of a pedagogical experiment on the implementation of modern distance educational technologies in the teaching of mathematical disciplines to students of technical specialties of higher education. As a basis for the experiment, an electronic textbook on the course "Theory of the function of a complex variable" was used. It was used as part of the distance learning system CLASS.NET to teach this discipline at the Moscow Aviation Institute. The article presents the results of the preliminary statistical analysis of the homogeneity of experimental and control groups of students and the results of their questionnaire in order to identify the motivation for the use of distance learning tools in the educational process. A comparative analysis of the current ratings of students of experimental and control groups, calculated at the time of conducting control measures during the semester, is provided. The effectiveness of using the developed distance learning technology (LMS) in the educational process is confirmed by the results of statistical studies of the final assessments of students obtained during full-time testing.

General Information

Keywords: electronic textbook, distance learning, statistical analysis, questionnaire, effectiveness of LMS, intrinsic motivation, extrinsic motivation

Journal rubric: Method of Teaching

OpenAlex citations: 2

OpenAlex trends: Educational Innovations and Challenges, Technology and Human Factors in Education and Health, Education and Professional Development

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Number of citations: 2

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Educational Innovations and Challenges

This cluster of papers explores the digital transformation and its impact on higher education institutions, focusing on topics such as educational technology, distance learning, e-learning, university management, and student experience. It discusses the challenges, opportunities, and risks associated with the integration of digital technologies in higher education, as well as the pedagogical approaches driving this transformation.

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Technology and Human Factors in Education and Health

This cluster of papers explores the future of personalized medicine in healthcare, focusing on topics such as artificial intelligence, healthcare technology, medical innovation, ergonomics, biomedical signal analysis, digital health, cyber-physical systems, healthcare automation, and clinical decision support. The papers cover a wide range of interdisciplinary research related to advancing personalized medical treatments and technologies.

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Education and Professional Development

This cluster of papers explores trends in higher education, focusing on digitalization, pedagogical innovation, professional development, educational technology, sustainability, entrepreneurship, student-centered learning, e-learning, and educational management.

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Article type: scientific article

DOI: https://doi.org/10.17759/mda.2023130211

Funding. The reported study was funded by Russian Science Foundation (RSF), project number 22-28-00588.

Received 10.05.2023

Accepted

Published

For citation: Martyushova, Y.G. (2023). Analysis of the Pedagogical Experiment Results on the Implementation of Distance Learning Technologies in the Teaching of Mathematical Disciplines for Technical Specialties of Universities. Modelling and Data Analysis, 13(2), 194–205. (In Russ.). https://doi.org/10.17759/mda.2023130211

© Martyushova Y.G., 2023

License: CC BY-NC 4.0

References

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  2. Bosov A.V., Martyushova Ya.G., Naumov A.V. Osobennosti formirovaniya kontenta elektronnykh uchebnikov na osnove didakticheskikh printsipov ikh konstruirovaniya. [Features of electronic textbook content formation based on didactic principles of their design] Otechestvennaya i zarubezhnaya pedagogika. 2022. Vol. 1, № 4 (85). Pp. 34–45. DOI:10.24412/2224-0772-2022-85-34-45 (In Russ., abstr. in Engl.)
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Information About the Authors

Yanina G. Martyushova, Candidate of Science (Education), Associate Professor of the Department of Probability Theory and Computer Modeling, Moscow Aviation Institute (National Research University), Moscow, Russian Federation, ORCID: https://orcid.org/0000-0001-7803-5914, e-mail: ma1554@mail.ru

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