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Does digital learning affect students' digital addiction?

Authors: I. I. Miniakhmetova; E. Y. Peterson; O. A. Chikova; L. A. Maximova;

Does digital learning affect students' digital addiction?

Abstract

Authors study a dangerous phenomenon in the ecosystem of digital education - the digital addiction of university students. Purpose of article is to use the structural equation modeling (SEM) to identify relationship between digital learning and digital addiction. Measurement of digital addiction was carried out by the method of screening diagnostics of computer addiction (L.N. Yuryeva, T.Yu. Bolbot). Method of confirmatory factor analysis carried we out validation of the method and showed that a one-factor model is acceptable: CMIN = 52,479; df = 44; CFI = 0.933; RMSEA = 0.063. A structural model of interaction of digital learning and digital addiction is proposed. An exploratory and confirmatory analysis of structural model proposed by authors for the interaction of digital learning and digital addiction has shown that there is no positive relationship between digitalization of education and development of digital addiction of students.

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selected citations
These citations are derived from selected sources.
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!
4
Top 10%
Average
Average
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