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Digital Competencies in Selected European Countries among University and High-School Students: Programming is lagging behind

Author

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  • Draganac Dragana

    (The University of Belgrade, Faculty of Economics and Business, Serbia)

  • Jović Danica

    (The University of Belgrade, Faculty of Economics and Business, Serbia)

  • Novak Ana

    (The University of Zagreb, Faculty of Economics and Business, Croatia)

Abstract

Background: Constant integration of digital technologies in economic and social life is rapidly and significantly shaping and changing our environment and ourselves. To function in such a world, even in daily routines, it is necessary to possess certain digital competencies. Objectives: This paper aims to examine how university and high-school students of economic orientations from selected European countries self-assess their digital competencies, and to analyse the identified differences. This will enable further understanding of university and high-school students’ digital competencies that can serve as guidance for improving teaching practices and curricula. Methods/Approach: A survey was conducted to collect data that were analysed using non-parametric statistic tests (Mann-Whitney U test and Kruskal-Wallis H test) and Spearman Rank-Order Correlation coefficient. Results: University and high-school students consider to have below intermediate level of digital competencies. High-school students self-assessed digital competencies at a higher level than university students. University students of higher years of study self-assessed digital competencies at a higher level. There is no universal pattern among high-school students of different years of study. University students in the Accounting module and high-school students in the Tourism module assessed their digital competencies at the lowest level in several areas. There is a consistency in self-assessment of digital knowledge and digital skills. Conclusions: The identified below intermediate level of digital competencies and discovered discrepancies indicated the need for educational process improvements to provide university and high-school students with a higher degree of digital competencies. Programming is the most lagging behind in all the observed groups.

Suggested Citation

  • Draganac Dragana & Jović Danica & Novak Ana, 2022. "Digital Competencies in Selected European Countries among University and High-School Students: Programming is lagging behind," Business Systems Research, Sciendo, vol. 13(2), pages 135-154, December.
  • Handle: RePEc:bit:bsrysr:v:13:y:2022:i:2:p:135-154:n:2
    DOI: 10.2478/bsrj-2022-0019
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    References listed on IDEAS

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    1. Stephanie Carretero & Riina Vuorikari & Yves Punie, 2017. "DigComp 2.1: The Digital Competence Framework for Citizens with eight proficiency levels and examples of use," JRC Research Reports JRC106281, Joint Research Centre.
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    Cited by:

    1. Elmis Jonatan García Zare & Segundo Eloy Soto Abanto & Noelia Patricia Rodriguez Paredes & Teresita del Rosario Merino Salazar & Sandra Elizabeth Pagador Flores & Jorge Luis Baldárrago Baldárrago & Jo, 2023. "Technological Devices and Digital Competences: A Look into the Digital Divides for University Continuity during the COVID-19 Pandemic," Sustainability, MDPI, vol. 15(11), pages 1-16, May.

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    More about this item

    Keywords

    economic education; digitalisation; digital knowledge; digital skills; self-perception; programming;
    All these keywords.

    JEL classification:

    • A21 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Pre-college
    • A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • I20 - Health, Education, and Welfare - - Education - - - General

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