Digital Competence Assessment Across Generations: A Finnish Sample Using the Digcomp Framework

Fawad Khan and Essi Vuopala
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Fawad Khan: University of Oulu, Oulu, Finland
Essi Vuopala: University of Oulu, Oulu, Finland

International Journal of Digital Literacy and Digital Competence (IJDLDC), 2019, vol. 10, issue 2, 15-28

Abstract: Based on the European framework (DigComp), a self-assessment tool digital competency wheel is used for this quantitative study to measure the individuals' perceptions toward digital competence. With a sample of 197 individuals from different generations in Finland, this study aims to provide empirical evidence that generational technological abilities are diverse. The data in this study show that “Net Generation,” also coined as “digital natives,” has obtained the highest level of digital competence. Nevertheless, when looking at the performance of all the investigated groups, the slight inter-generational difference was found in the case of problem-solving, whereas programming was found as the least developed competency among these groups. Based on the results, the study concludes that digital competence is very much distributed across generations. This also contributes to intergenerational learning that may enhance technological skills across generations.

Date: 2019
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