Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/123456789/32205
Title: Research and Comparison of Analytical Platforms in the Field of Education
Authors: Lapina, M. A.
Лапина, М. А.
Lukyanov, D. A.
Лукьянов, Д. А.
Tokmakova, M. E.
Токмакова, М. Е.
Keywords: Analytical platforms;Artificial intelligence;Data analysis;Educational process;Machine learning;Quality of education;Questionnaire survey
Issue Date: 2025
Publisher: Springer Science and Business Media Deutschland GmbH
Citation: Lapina, M., Lukyanov, D., Tokmakova, M., Muthanna, M.S.A. Research and Comparison of Analytical Platforms in the Field of Education // Lecture Notes in Networks and Systems. - 2025. - 1616 LNNS. - pp. 277 - 288. - DOI: 10.1007/978-3-032-04365-8_28
Series/Report no.: Lecture Notes in Networks and Systems
Abstract: The article discusses educational platforms, examines their role in the modern educational process through a comparative analysis. The concept of a data analysis platform, types and advantages of use in the educational process are described. The purpose of the study is to identify students’ opinions on the use of analytical platforms in educational activities. During the study, a survey of students working with data analysis platforms was conducted. Empirical methods were implemented in the process of conducting an online survey of students within the framework of the discipline “Methods and Ways of Data Analysis” - students were given the task of analyzing the data provided by the teacher using the following platforms: Python, Tableau and Anaconda. During the work, students were tasked with conducting a comprehensive assessment of the data of specialized data analysis platforms, including an analysis of their functional characteristics, ease of use, effectiveness in solving the assigned tasks and accessibility. This task was set for second-year students of two groups: the specialty “Information Security of Automated Systems” of the North Caucasus Federal University, and the specialty “Computer Science” of Prince Mohammad Bin Fahd University. It was found that students currently believe that the best application for working with machine learning is Anaconda, which provides an interface and supports a huge number of languages.
URI: https://dspace.ncfu.ru/handle/123456789/32205
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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