Scale for Assessing University Digital Educational Environment (AUDEE Scale)

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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.

General Information

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

Journal rubric: Educational Psychology

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

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”.

For citation: Sorokova M.G., Odintsova M.A., Radchikova N.P. Scale for Assessing University Digital Educational Environment (AUDEE Scale). Psikhologicheskaya nauka i obrazovanie = Psychological Science and Education, 2021. Vol. 26, no. 2, pp. 52–65. DOI: 10.17759/pse.2021260205.

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Information About the Authors

Marina G. Sorokova, Doctor of Education, PhD in Physics and Matematics, docent, Head of Scientific and Practical Center for Comprehensive Support of Psychological Research "PsyDATA", Head of the Department of Digital Education, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0002-1000-6487, e-mail: sorokovamg@mgppu.ru

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

Nataly P. Radchikova, PhD in Psychology, Leading Researcher of Scientific and Practical Center for Comprehensive Support of Psychological Research «PsyDATA», Moscow State University of Psychology & Education, Chief Specialist of the Laboratory of Biophysics of Excitable Media, Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino;, Moscow, Russia, ORCID: https://orcid.org/0000-0002-5139-8288, e-mail: nataly.radchikova@gmail.com

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