dc.contributor.author	Mazorchuk, Mariia S.
dc.contributor.author	Vakulenko, Tetyana S.
dc.contributor.author	Bychko, Anna O.
dc.contributor.author	Kuzminska, Olena H.
dc.contributor.author	Prokhorov, Oleksandr V.
dc.date.accessioned	2021-09-07T13:29:44Z
dc.date.available	2021-09-07T13:29:44Z
dc.date.issued	2021-06-10
dc.identifier.citation	Mazorchuk M. S. Cloud technologies and learning analytics: web application for PISA results analysis and visualization / Mariia S. Mazorchuk, Tetyana S. Vakulenko, Anna O. Bychko, Olena H. Kuzminska, Oleksandr V. Prokhorov // CEUR Workshop Proceedings. - Vol. 2879. - P. 484-494.	uk
dc.identifier.issn	1613-0073
dc.identifier.uri	http://ceur-ws.org/Vol-2879/paper28.pdf
dc.identifier.uri	http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/4451
dc.identifier.uri	https://doi.org/10.31812/123456789/4451
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dc.description.abstract	This article analyzes the ways to apply Learning Analytics, Cloud Technologies, and Big Data in the field of education on the international level. This paper provides examples of international analytical researches and cloud technologies used to process the results of those researches. It considers the PISA research methodology and related tools, including the IDB Analyzer application, free R intsvy environment for processing statistical data, and cloud-based web application PISA Data Explorer. The paper justifies the necessity of creating a stand-alone web application that supports Ukrainian localization and provides Ukrainian researchers with rapid access to well-structured PISA data. In particular, such an application should provide for data across the factorial features and indicators applied at the country level and demonstrate the Ukrainian indicators compared to the other countries’ results. This paper includes a description of the application core functionalities, architecture, and technologies used for development. The proposed solution leverages the shiny package available with R environment that allows implementing both the UI and server sides of the application. The technical implementation is a proven solution that allows for simplifying the access to PISA data for Ukrainian researchers and helping them utilize the calculation results on the key features without having to apply tools for processing statistical data.	uk
dc.language.iso	en	uk
dc.publisher	CEUR Workshop Proceedings	uk
dc.subject	learning analytics	uk
dc.subject	Cloud Technologies	uk
dc.subject	Cloud Technologies	uk
dc.subject	PISA	uk
dc.subject	web application	uk
dc.title	Cloud technologies and learning analytics: web application for PISA results analysis and visualization	uk
dc.type	Article	uk