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Digitalisation Of Teaching And Learning Methods In Statistics

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  • Danacica Daniela

    (FACULTY OF ECONOMICS, „CONSTANTIN BRANCUSI” UNIVERSITY OF TARGU-JIU, ROMANIA)

Abstract

The aim of this article is to analyse the digitalisation of teaching and learning methods in statistics. A dataset of 49 open-access papers published in WoS journals between 2010 and 2025 was analysed. The results indicate that the use of digital tools such as SPSS, R, Python, EViews, Stata, e-learning platforms, gamification and virtual/augmented reality contributes to improving academic performance, student motivation and engagement, while also facilitating the acquisition of advanced digital and analytical skills required by today's labour market.

Suggested Citation

  • Danacica Daniela, 2025. "Digitalisation Of Teaching And Learning Methods In Statistics," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 2, pages 5-14, April.
    • Handle: RePEc:cbu:jrnlec:y:2025:v:2:p:5-14
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    References listed on IDEAS

    as
    1. George Cobb, 2015. "Mere Renovation is Too Little Too Late: We Need to Rethink our Undergraduate Curriculum from the Ground Up," The American Statistician, Taylor & Francis Journals, vol. 69(4), pages 266-282, November.
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