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Psychological Science and Education

Publisher: Moscow State University of Psychology and Education

ISSN (printed version): 1814-2052

ISSN (online): 2311-7273

DOI: https://doi.org/10.17759/pse

License: CC BY-NC 4.0

Started in 1996

Published 6 times a year

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Scale for Assessing University Digital Educational Environment (AUDEE Scale) 264

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Sorokova M.G.
Doctor of Education, PhD in Physics and Mathematics, Head of Scientific and Practical Center for Comprehensive Support of Psychological Research «PsyDATA», Professor, Chair of Applied Mathematics, Faculty of Information Technology, Moscow State University of Psychology and Education, Moscow, Russia
ORCID: https://orcid.org/0000-0002-1000-6487
e-mail: sorokovamg@mgppu.ru

Odintsova M.A.
PhD in Psychology, Head of the Department of Psychology and Pedagogy of Distance Learning, Faculty of Distance Learning, Moscow State University of Psychology and Education, Moscow, Russia
ORCID: https://orcid.org/0000-0003-3106-4616
e-mail: mari505@mail.ru

Radchikova N.P.
PhD in Psychology, Associate Professor of the Department of Developmental Psychology, Faculty of Pre-School Pedagogy and Psychology, Moscow Pedagogical State University (MPGU), Moscow, Russia
ORCID: https://orcid.org/0000-0002-5139-8288
e-mail: nataly.radchikova@gmail.com

Abstract
The paper presents results of the development of a scale for assessing university digital educational environment (AUDEE Scale; N = 406; 366 (90.1% women; age varies from 19 to 72 years, on average 28.7 ± 9.6 years (median = 24 years)).AUDEE scale provides a comprehensive description of digital educational environment based on the distinguishing of six indicators: satisfaction with the educational process; satisfaction with communicative interaction; stress tension; the need for support; dishonest strategies in knowledge control; and environment accessibility.The results of the confirmatory factor analysis confirm the six subscales model (IFI = 0.87; χ2 / df = 2.6; RMSEA = 0.06 [0.058; 0.066]; SRMR = 0.06).All subscales have acceptable reliability (Cronbach’s alpha = 0.72—0.91, Split-half Guttman alpha = 0.82—0.92) and demonstrate predictable relationships with convergent indicators: experiences during learning (efforts, pleasure, meaning); cognitive motivation, achievement motivation, self-development motivation, introjected and external motivation, amotivation.To standardize the scale, stanines are calculated.

Keywords: digital educational environment of the university, students, assessment scale, reliability, validity

Column: Educational Psychology

DOI: https://doi.org/10.17759/pse.2021260205

For Reference

Funding

The reported study was funded by the Moscow State University of Psychology and Education (MSUPE) in the framework of the research project “Digital Technologies in Higher Education: Development of Technology for Individualizing Education Using E-Courses”.

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