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Application of learning analytics in higher educational institutions

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dc.contributor.author Mustafina J.
dc.contributor.author Galiullin L.
dc.contributor.author Al-Jumeily D.
dc.contributor.author Petrov E.
dc.contributor.author Alloghani M.
dc.contributor.author Kaky A.
dc.date.accessioned 2020-01-15T22:12:29Z
dc.date.available 2020-01-15T22:12:29Z
dc.date.issued 2019
dc.identifier.issn 2161-1343
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/157064
dc.description.abstract © 2018 IEEE. This article considers how teachers and university administrators can use a significant amount of data stored in the information systems of institutions. Intelligent analysis of these learning processes is of great use in the higher education system. The use of learning analytics (LA) by a large number of higher educational institutions shows the interest and participation of universities in this matter. Learning analytics can tell a lot about the progress of students and the environment in which learning takes place. Intellectualization of educational analytics will help provide predictive models that can serve as a basis for quality assurance and quality improvement. This article gives an idea of the current level of LA development at the international level. The article also draws conclusions about the problems and limitations associated with learning analytics (LA). The existing experience has been studied, and the conclusion have been made about the existing limitations that prevent the wider use of LA.
dc.relation.ispartofseries Proceedings - International Conference on Developments in eSystems Engineering, DeSE
dc.subject Academic performance
dc.subject Learning analytics
dc.subject Learning behavior
dc.subject Prediction
dc.title Application of learning analytics in higher educational institutions
dc.type Conference Paper
dc.relation.ispartofseries-volume 2018-September
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 163
dc.source.id SCOPUS21611343-2019-2018-SID85063154438


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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