Abstract:

The emergence of Large Language Models (LLM), such as ChatGPT, is considered a productivity revolution in many areas of business and society.  For a classroom setting, in particular, it would be useful to understand whether, and how, to incorporate ChatGPT, similar to any other productivity revolution (e.g., calculators, Google search engine). Although there are concerns regarding the use of LLMs in business education, the positive or negative impact of LLMs use is not well-understood. In this study, we examine the substitution and complementarity effects of using ChatGPT in business curricula on learning outcomes and student well-being in a socially supportive learning environment. Specifically, we examine whether technology anchors impact students’ goal orientation, learning outcomes, and well-being by conducting an empirical study with 126 undergraduate students majoring in Information Systems. Our analysis reveals that a technology anchor (computer playfulness) can substitute for the effects of social support on learning outcomes, while enhancing well-being for difficult tasks. Students’ well-being and learning outcomes are enhanced due to LLM use (specifically, the technology self-efficacy anchor), complementing social support for simple tasks to demonstrate competency. These findings have implications for educational institutions that are assessing how to incorporate LLMs into business curricula.

About the Speaker:

Dr. Amrita George is a Clinical Assistant Professor at Georgia State University (GSU). Before arriving at GSU, she was an Assistant Professor of Information Systems at the College of Business, Marquette University. She has nine years of IT experience spanning business analysis, project management, and consulting across multiple business domains. Her research interests include health information technology, business intelligence and analytics, and emergent technologies. Her research has been published in premier journals, including the Journal of Medical Internet Research and the Journal of Database Management. Her work has also appeared in top-tier conference proceedings, namely, the International Conference on Information Systems, the Americas Conference on Information Systems, and the Academy of Management Global Proceedings. She is also a recipient of an NSF grant to study the implications of algorithms on the future of work.

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