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

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Supporting Informal Field-Based Learning in the AI Era: Key Antecedents in Human-AI Collaboration

Ferry Nolte, Mary Tate, Eva Alice Christiane Bittner, Chloe Latto et al.
ScholarSpace (University of Hawaii at Manoa)
Innovative Education and Learning Practices
article

Supporting Informal Field-Based Learning in the AI Era: Key Antecedents in Human-AI Collaboration

Ferry Nolte, Mary Tate, Eva Alice Christiane Bittner, Chloe Latto, Alexander Richter, Daria Soroko, Rosemarie Kirmse
article en

Abstract

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.

ScholarSpace (University of Hawaii at Manoa)
Openalex Percentile: Top 18%
Innovative Education and Learning Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.