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Fostering GenAI Literacy in Higher Education for Future Workplace Preparedness: A Mixed-Methods Study

European Conference on Information Systems (Hrsg). ECIS 2024 Proceedings. 5. Aufl. United States of America: AIS Electronic Library (AISeL) 2024 S. 1 - 8

Erscheinungsjahr: 2024

Titel des mehrbändigen Werkes: ECIS 2024 Proceedings

Publikationstyp: Diverses (Konferenzbeitrag)

Sprache: Englisch

Website
Geprüft:Bibliothek

Inhaltszusammenfassung


As generative AI (GenAI) becomes increasingly integrated into the professional workplace, offering significant productivity gains according to emerging research evidence, professionals and students need to build competencies to thrive in this new environment. In higher education, curricula must incorporate GenAI literacy to help students engage with this important and evolving technology. This research introduces results from a mixed-method study conducted among organisational practitioners, ...As generative AI (GenAI) becomes increasingly integrated into the professional workplace, offering significant productivity gains according to emerging research evidence, professionals and students need to build competencies to thrive in this new environment. In higher education, curricula must incorporate GenAI literacy to help students engage with this important and evolving technology. This research introduces results from a mixed-method study conducted among organisational practitioners, with the goal of creating an understanding of GenAI literacy needs across broad organisational contexts. We develop a Diamond Model of GenAI literacy for higher education to support curricular transformations needed to help students entering the GenAI-infused workplace. The suggested Diamond Model advocates for refining educational approaches to equip graduates with the capabilities to apply GenAI, maintain accountability, ensure authenticity and exercise agency in GenAI-driven workplaces.» weiterlesen» einklappen

  • generative AI, higher education, GenAI literacy, future skills

Autoren


Fleischmann, Caroline (Autor)
Logemann, Minna (Autor)
Heidemann, Jeanette (Autor)
Cardon, Peter (Autor)
Aritz, Jolanta (Autor)

Klassifikation


DDC Sachgruppe:
Informatik

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