Integrating Generative AI in Quantitative Courses

The goal of the project was to strategically integrate GenAI to enhance student proficiency in analytics, decision-making, and data communication.

Students in MGT 2250 were taught to harness AI as an analytical partner, building personalized GPT agents and using them alongside Excel to tackle real-world business problems. The Navigating AI in Research in Higher Education Symposium featured speakers who shared their innovative applications of AI in higher education. 

Artifacts created: 

• A set of weekly homework assignments on advanced business topics that compared Excel and ChatGPT  

• Asynchronous assignments solving specific business problems 

• Canvas Handouts and Videos   

• Case: EcoDrive Auto, AI Mini-Capstone Project  

• Introduction to ChatGPT lecture  

• Guest lecture from Pricewaterhowse Coopers about use of GenAI in their context  

• Gen AI essay about steps for data visualization   

255 students took MGT 2250.

This project was shared via the USG Teaching and Learning Conference session on Generative AI-based Teaching and Projects in Quantitative Classes, a workshop on the Transformative Potential of AI for Student Well-being and Personalized Learning at the 2025 Well-Being and Innovation in Higher Education Conference, a presentation at the Navigating Teaching and Research in the Era of AI symposium, and a poster at Celebrating Teaching Day.