DIGITALISATION OF TEACHING AND LEARNING METHODS IN STATISTICS

Danacica Daniela
Additional contact information
Danacica Daniela: FACULTY OF ECONOMICS, „CONSTANTIN BRANCUSI” UNIVERSITY OF TARGU-JIU, ROMANIA

Annals - Economy Series, 2025, vol. 2, 5-14

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.

Keywords: digitalisation; platforms; software; data (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.utgjiu.ro/revista/ec/pdf/2025-02/01_Danacica.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cbu:jrnlec:y:2025:v:2:p:5-14

Access Statistics for this article

More articles in Annals - Economy Series from Constantin Brancusi University, Faculty of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Ecobici Nicolae ( this e-mail address is bad, please contact ).