Data underlying the article Critical exploratory investigation of AI consumption, AI perception and AI literacy requirements alignment

doi:10.4121/b43e0300-5952-41b7-bf6b-bfdc6b2d7524.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/b43e0300-5952-41b7-bf6b-bfdc6b2d7524
Datacite citation style:
Popa, Diana M. (2024): Data underlying the article Critical exploratory investigation of AI consumption, AI perception and AI literacy requirements alignment. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/b43e0300-5952-41b7-bf6b-bfdc6b2d7524.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

Data underlying the OA article "Critical exploratory investigation of AI consumption, AI perception and AI literacy requirements alignment". Part of several digital focus groups, or digital technical working groups (DTWG) investigating the digitalisation status and practices within the New European Bauhaus programme, a hybrid data collection activity focused on AI was conducted in an interactive, two-part setting. The interactive exercise asked participants to structure and evaluate AI literacy skills for 3 different roles: developer, deployer and impacted person (citizen). Qualitatieve data based on participant input. The detailed methodology is described in the body of the article.

history
  • 2024-11-19 first online, published, posted
publisher
4TU.ResearchData
funding
  • Digital ecosystem for the New European Bauhaus (grant code 101083743) European Commission
  • Digital ecosystem for the New European Bauhaus (grant code 101083743) New European Bauhaus/ European Commission
organizations
TU Delft, Faculty of Architecture and the Built Environment.