"Generative Artificial Intelligence in business higher education: A foc" by Xuenan HUO and Keng SIAU
 

Publication Type

Journal Article

Version

publishedVersion

Publication Date

12-2024

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.

Keywords

Generative Artificial Intelligence, Agentic Artificial Intelligence, Artificial General Intelligence, Focus Group Study, Qualitative Research, Business Higher Education

Discipline

Artificial Intelligence and Robotics | Business | Databases and Information Systems | Higher Education

Research Areas

Data Science and Engineering

Publication

Journal of Global Information Management

Volume

32

Issue

1

First Page

1

Last Page

21

ISSN

1062-7375

Identifier

10.4018/JGIM.364093

Copyright Owner and License

Authors-CC-BY

Creative Commons License

Creative Commons Attribution 3.0 License
This work is licensed under a Creative Commons Attribution 3.0 License.

Additional URL

https://doi.org/10.4018/JGIM.364093

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