Assessing Digital Skills and Competencies for Different Groups and Devising a Conceptual Model to Support Teaching and Training

Xhelal Jashari*, Bekim Fetaji, Alexander Nussbaumer, Christian Gütl

*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

The assessment of digital skills and competencies required to make use of digital resources poses several challenges. In order to evaluate the current situation and trends, this research study initially presents a review of history, existing trends and digital competence frameworks, learning and teaching methodologies for dig-ital literacy and provides insights and recommendations. The review of existing framework and methods used to assess digital skills of different groups has re-vealed that self-assessment is an assessment category that most often results in an overestimation of own digital skills by respondents. To address such deficiencies, a digital competency model (DigComp) was created in 2013, as part of the EU Education and Training Agenda 2020. This model describes which skills and competencies are needed to use digital technologies in a confident, critical, collab-orative and creative way and to accomplish the goals related to work, learning, and leisure in a digital society. Starting from the existing framework, this research study devises a conceptual model to support teaching and training. Each user group requires a different approach in order to accurately evaluate their digital competences; therefore, the use of a flexible and integrated approach is necessary. The model proposed in this study describes which skills should be learned, how they should be taught, and how they can be assessed.
Originalspracheenglisch
TitelCross Reality and Data Science in Engineering - Proceedings of the 17th International Conference on Remote Engineering and Virtual Instrumentation, REV 2020
UntertitelProceedings of the 17th International Conference on Remote Engineering and Virtual Instrumentation
Redakteure/-innenMichael E. Auer, Dominik May
ErscheinungsortCham
Herausgeber (Verlag)Springer
Seiten982-995
Seitenumfang14
ISBN (Print)978-3-030-52574-3
DOIs
PublikationsstatusVeröffentlicht - 1 Jan 2021
Veranstaltung17th International Conference on Remote Engineering and Virtual Instrumentation - Athens, USA / Vereinigte Staaten
Dauer: 26 Feb 202028 Feb 2020

Publikationsreihe

NameAdvances in Intelligent Systems and Computing
Band1231 AISC
ISSN (Print)2194-5357
ISSN (elektronisch)2194-5365

Konferenz

Konferenz17th International Conference on Remote Engineering and Virtual Instrumentation
KurztitelREV 2020
Land/GebietUSA / Vereinigte Staaten
OrtAthens
Zeitraum26/02/2028/02/20

ASJC Scopus subject areas

  • Steuerungs- und Systemtechnik
  • Informatik (insg.)

Fields of Expertise

  • Information, Communication & Computing

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