Document Type

Article

Publication Date

7-2025

Abstract

The rise of generative AI is transforming the realm of business education. As interest and concerns surrounding the use of generative AI in schools grow, research examining the effects of generative AI in education and learning remains sparse. To that end, this study aims to demystify the potential generative AI by evaluating the performance of ChatGPT in addressing Operations Management problems and questions, which are classified according to Bloom’s taxonomy and grouped as quantitative vs. qualitative, deterministic vs. stochastic groups. Our findings reveal that ChatGPT generally performed well but struggled with Bloom’s “applying” and stochastic questions, suggesting its limitations in higher-order cognitive tasks. This finding underscores the importance of collaboration among educators, learners, and generative AI to enhance educational outcomes. Furthermore, we explore the role of prompt engineering and custom GPTs in improving the education and learning of Operations Management. Our research thus provides significant insights into Operations Management education and pedagogy, unveiling many opportunities for future research.

Journal Name

International Journal of Services and Standards

Comments

This is a post-print.  The final published version is available at https://10.1504/IJSS.2024.147738

Download

Share

COinS