Please use this identifier to cite or link to this item: https://ruomoplus.lib.uom.gr/handle/8000/508
Title: Development and validation of students' digital competence scale (SDiCoS)
Authors: Tzafilkou, Katerina 
Perifanou, Maria A. 
Economides, Anastasios A. 
Author Department Affiliations: Department of Economics 
Department of Economics 
Author School Affiliations: School of Economic and Regional Studies 
School of Economic and Regional Studies 
Subjects: FRASCATI__Social sciences__Educational sciences
FRASCATI__Natural sciences__Computer and information sciences
FRASCATI__Social sciences__Media and communications__Information science (social aspects)
FRASCATI__Social sciences__Media and communications
Keywords: Digital skills
Digital competence
Scale development
Scale validation
Twenty-first century skills
adult learning
students' digital skills
students' digital competence
university students
higher education students
online learning
cybersecurity skills
information literacy
communication skills
Issue Date: 2022
Publisher: Springer
Journal: International journal of educational technology in higher education 
ISSN: 2365-9440
Volume: 19
Issue: 1
Start page: 30
Abstract: 
Towards the transition to blended and remote education, evaluating the levels of students' digital competence and designing educational programs to advance them is of paramount importance. Existing validated digital competence scales usually ignore either important digital skills needed or new socio-technological innovations. This study proposes and validates a comprehensive digital competence scale for students in higher education. The suggested instrument includes skills of online learning and collaboration, social media, smart and mobile devices, safety, and data protection. The scale was evaluated on a sample of 156 undergraduate and postgraduate students just before and at the beginning of the COVID-19 crisis. The final scale is composed of 28 items and six digital competence components. The evaluation study revealed valid results in terms of model fit criteria, factor loadings, internal validity, and reliability. Individual factors like the students' field of study, computer experience and age revealed significant associations to the scale components, while gender revealed no significant differences. The suggested scale can be useful to the design of new actions and policies towards remote education and the digital skills' development of adult learners.
URI: https://doi.org/10.1186/s41239-022-00330-0
https://ruomoplus.lib.uom.gr/handle/8000/508
DOI: 10.1186/s41239-022-00330-0
Rights: Attribution-NonCommercial-ShareAlike 4.0 International
Corresponding Item Departments: Department of Economics
Department of Economics
Department of Economics
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