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The prediction of educational success of students-humanitarians in social networks from the psychometric view

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dc.contributor.author Gafarov F.
dc.contributor.author Enikeeva Z.
dc.contributor.author Vakhitov G.
dc.contributor.author Nikolaev K.
dc.date.accessioned 2021-02-25T20:55:10Z
dc.date.available 2021-02-25T20:55:10Z
dc.date.issued 2020
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/162626
dc.description.abstract © 2020, Advanced Scientific Research. All rights reserved. The work is one of the pilot studies within the framework of the development of a theoretical and applied model for predicting a person’s life activity in its educational activities through social networks. This study revealed that social networks are the result of profound changes in social reality models due to the intensive “digitalization” of modern society. In general, social networks reflect the virtualization of social processes which include the fusion of social and virtual realities. The behaviour of a person within the framework of social networks is reflected in the products of its virtual activity-the quantitative and qualitative (meaningful) metrics of its personal profile (friends, posts, likes, subscribers, etc.). As part of the hypothesis that the similarity of social networks users’ virtual behaviour indicates the similarity of their real behaviour, we assume that a number of personal profile characteristics are psychometric predictors of future students' academic achievements. The interval distribution regularities of average quantitative characteristics values for high-achieving and low-achieving humanists’ personal profiles in social networks (number of friends, communities, subscribers and photos) are shown based on their comparative analysis. As a result, psychometric predictors for academic achievements of humanists, which allow predicting their academic performance in the educational process, are presented in the work as a first approximation.
dc.subject Academic achievements
dc.subject Prediction
dc.subject Predictors
dc.subject Psychometry
dc.subject Social networks
dc.subject Virtual space
dc.title The prediction of educational success of students-humanitarians in social networks from the psychometric view
dc.type Article
dc.relation.ispartofseries-issue 1
dc.relation.ispartofseries-volume 12
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 804
dc.source.id SCOPUS-2020-12-1-SID85078466152


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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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