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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

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.
Original languageEnglish
Title of host publicationCross Reality and Data Science in Engineering - Proceedings of the 17th International Conference on Remote Engineering and Virtual Instrumentation, REV 2020
Subtitle of host publicationProceedings of the 17th International Conference on Remote Engineering and Virtual Instrumentation
EditorsMichael E. Auer, Dominik May
Place of PublicationCham
PublisherSpringer
Pages982-995
Number of pages14
ISBN (Print)978-3-030-52574-3
DOIs
Publication statusPublished - 1 Jan 2021
Event17th International Conference on Remote Engineering and Virtual Instrumentation - Athens, United States
Duration: 26 Feb 202028 Feb 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1231 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference17th International Conference on Remote Engineering and Virtual Instrumentation
Abbreviated titleREV 2020
Country/TerritoryUnited States
CityAthens
Period26/02/2028/02/20

Keywords

  • Assessment
  • Conceptual model
  • DigComp framework
  • Digital competencies
  • Digital skills

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Fields of Expertise

  • Information, Communication & Computing

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