Supporting Informal Field-Based Learning in the AI Era: Key Antecedents in Human-AI Collaboration
Informal field-based learning (IFBL) is essential for developing the current workforce in the age of AI as employees’ skills need to evolve with the introduction of these new technologies. Effective human-AI collaboration (HAIC) demands for considering factors such as individual needs, work practices and perspectives before the introduction of new technologies like generative artificial intelligence (genAI) systems. However, little is known of what factors exactly to consider toward informal fieldbased learning in HAIC and how these antecedents are related to each other. In this paper, we identify potential individual antecedents of IFBL in a HAIC context, examine their relationships and derive implications for managing the introduction of genAI into organizations.
Authors
- Ferry Nolte
- Mary Tate (ORCID: https://orcid.org/0000-0002-4284-7467)
- Eva Alice Christiane Bittner (ORCID: https://orcid.org/0000-0002-7628-6012)
- Chloe Latto
- Alexander Richter
- Daria Soroko
- Rosemarie Kirmse
Publication Details
- Journal
- ScholarSpace (University of Hawaii at Manoa)
- Published
- 2025-12-23
- Primary Topic
- Innovative Education and Learning Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00