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DigComp 3.0 ATDigital Competence Model for Austria
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At a glanceDigComp 3.0 ATAbout
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DigComp 3.0 AT

Visualisation of Digital Competence Model for Austria – DigComp 3.0 AT⁠(opens in new tab) (Domany-Funtan et al., 2026)

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fit4internet Website(opens in new tab)DigComp 3.0 AT Publication (DOI)(opens in new tab)

This website provides materials related to the published work Digital Competence Model for Austria – DigComp 3.0 AT (Domany-Funtan et al., 2026)⁠(opens in new tab). This is the full-length version of the publication, further developed on this basis by authors of DigComp 2.3 AT. A condensed version, also used by fit4internet and its partners, is available here: Digital Competence Model for Austria – DigComp 3.0 AT (fit4internet, 2026)⁠(opens in new tab). Where DigComp 3.0 EU materials are referenced, the data is used as originally published; for corrections, please always check the JRC DigComp 3.0 errata page, where new errata are continuously reported and documented: JRC DigComp 3.0 errata page(opens in new tab)

Original content © Talentary.x / fit4internet

Framework: Digitales Kompetenzmodell für Österreich - DigComp 3.0 AT (2026), Medienimpulse 64(1)

CompetenciesArea 11.2
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1.2

Critically evaluating and interpreting data, information and digital content

Information, Data and Digital Content Management11 AI-explicit7 AI-implicit

Analysing, comparing, critically evaluating and interpreting the credibility and reliability of data sources, data, information and digital content; including the systematic detection of mis- and disinformation (misinformation/disinformation) as well as biases and hallucinations in AI-supported systems and content.

24
Competence Statements
33
Learning Outcomes
8
Proficiency Levels
18
AI-Related
Description

Analysing, comparing, critically evaluating and interpreting the credibility and reliability of data sources, data, information and digital content; including the systematic detection of mis- and disinformation (misinformation/disinformation) as well as biases and hallucinations in AI-supported systems and content.

Area 1: Information, Data and Digital Content Management

Competence Area 1 encompasses articulating and fulfilling information needs, researching, filtering, storing and managing digital data, information and content. It also includes the critical assessment of data sources, analysis of data and their organisation and processing. The critical evaluation of digital content now systematically includes the detection of mis- and disinformation as well as biases and hallucinations in AI-supported systems. It goes beyond classical source criticism to include critical judgement under the conditions of automated, generative and personalised information environments.

Previous Competency
1.1 Browsing, searching and filtering data, information and digital content
Next Competency
1.3 Managing data, information and digital content