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

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

Fawad Khan, Essi Vuopala
Copyright: © 2019 |Pages: 14
DOI: 10.4018/IJDLDC.2019040102
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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.
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Aim Of The Study

The aim of the study is to explore the digital competences in a sample of Finnish individuals that belong to different age groups, using the Digital competency wheel, a tool based on digital competence framework.

More specifically, the present study aims to identify:

  • 1.

    What is the digital competence proficiency levels of different age groups by following the Digcomp framework 2.1?

  • 2.

    What are the strongest and the weakest competence areas in overall Finnish sample?

  • 3.

    What are the highest and lowest digital competencies in overall Finnish sample?

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