Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Generative Artificial Intelligence in Business Higher Education
20
Zitationen
2
Autoren
2024
Jahr
Abstract
This research investigates the opportunities and challenges of integrating generative artificial intelligence (GenAI) into business higher education, drawing insights from an asynchronous focus group research study with doctoral students who serve dual roles as both learners and educators. Key opportunities identified through thematic analysis include knowledge acquisition, intelligent co-ideation, supportive augmentation, and personalized learning. Challenges identified include AI trustworthiness, cognitive dependency, human value, policy and instruction, assessment integrity, and identity management. This study clarifies GenAI's specific role in business education and provides practical insights for effectively integrating GenAI to enhance learning outcomes and address emerging challenges. An analysis theory on the opportunities and challenges of GenAI on business higher education is developed and described in the paper. The potential impact of Agentic Artificial Intelligence (autonomous AI agents) and Artificial General Intelligence (AGI) on education is also discussed.
Ähnliche Arbeiten
The Coding Manual for Qualitative Researchers
2025 · 17.869 Zit.
Research methods for business: A skill building approach
1993 · 17.074 Zit.
The NIST definition of cloud computing
2011 · 11.547 Zit.
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
2003 · 11.119 Zit.
Introduction to Information Retrieval
2008 · 10.631 Zit.