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

Author

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  • Fawad Khan

    (University of Oulu, Oulu, Finland)

  • Essi Vuopala

    (University of Oulu, Oulu, Finland)

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.

Suggested Citation

  • Fawad Khan & Essi Vuopala, 2019. "Digital Competence Assessment Across Generations: A Finnish Sample Using the Digcomp Framework," International Journal of Digital Literacy and Digital Competence (IJDLDC), IGI Global, vol. 10(2), pages 15-28, April.
    • Handle: RePEc:igg:jdldc0:v:10:y:2019:i:2:p:15-28
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJDLDC.2019040102
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    Cited by:

    1. Fatih Gurcan & Gizem Dilan Boztas & Gonca Gokce Menekse Dalveren & Mohammad Derawi, 2023. "Digital Transformation Strategies, Practices, and Trends: A Large-Scale Retrospective Study Based on Machine Learning," Sustainability, MDPI, vol. 15(9), pages 1-23, May.

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