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Хмарна LMS візуалізації статистичних даних

Хмарна LMS візуалізації статистичних даних

Abstract

The purpose of the article is to create a cloud LMS (Learning Management System) analysis and visualization of statistics. The research methodology is cloud information processing technologies. The novelty of the research is the implementation of a new training course on the use of modern means of data visualization in the form of cloud LMS. Conclusions. The material presented in the article gives a clear example of cloud technology usage in distance education. The materials of the training course “Information and Analytical Programs and Services” are implemented in the form of a cloud LMS based on the Google Classroom platform using a modern structure of material presentation.

Метою статті є створення хмарної LMS (Learning Management System) аналізу та візуалізації статистичних даних. Методом дослідження є хмарні технології обробки інформації. Новизною проведеного дослідження є реалізація нового навчального курсу використання сучасних засобів візуалізації даних у вигляді хмарної LMS. Висновки. Викладений у статті матеріал дає наочний приклад використання хмарних технологій у дистанційній освіті. Матеріали навчального курсу «Інформаційно-аналітичні програми і послуги» реалізовані у вигляді хмарної LMS на основі платформи Google Classroom з використанням сучасної структури подання матеріалу.

Keywords

MS Power BI, Google Classroom, distance education, пандемія COVID-19, 378.147:004.738, COVID-19 pandemic, хмарні технології, дистанційна освіта, LMS, cloud technologies

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citations
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
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