Authors:
Barbara Wimmer
;
Irene Mayr
and
Thorsten Händler
Affiliation:
Ferdinand Porsche Mobile University of Applied Sciences (FERNFH), Austria
Keyword(s):
Competence Framework, Digital Competences, Systematic Mapping Study, Artificial Intelligence (AI), Generative AI, Adaptability, Framework Comparison.
Abstract:
The rapidly evolving capabilities of generative artificial intelligence (AI) in understanding and generating texts and images challenge the role of human competences in existing and redesigned processes and infrastructures in many domains. In addition to aspects such as automating complex tasks and decision-making processes, the question arises as to which human competences are required to deal efficiently and confidently with these newly emerging AI-driven opportunities, manifesting in form of new tools, methods, processes and infrastructures, including the design and use of hybrid human-AI ecosystems. A variety of digital competence frameworks (DCFWs) is available to support practitioners from didactic and business contexts in specifying and measuring such competences. In this paper, we systematically analyze established DCFWs and compare the provided means to cope with the challenges from rapidly evolving generative AI. For this purpose, we present the results of a systematic mapp
ing study (SMS) based on 25 identified international DCFWs, focusing on the degree of AI coverage and adaptability. The resulting structural overview and comparative analysis provides orientation and aims to empower both individual practitioners and organizations to evaluate, select, combine, contextualize, adapt and apply existing frameworks based on their individual application purposes.
(More)