Date Completed
Winter 12-20-2025
Project Type
Graduate Research Project
Abstract
The widespread availability of generative artificial intelligence has weakened traditional assessment methods in Information Systems and Business Analytics education. In DS 774/874, AI and Emerging Technologies in Business (formerly E-Business) at the University of New Hampshire, auto-graded assignments and presentation-based deliverables no longer reliably indicate student understanding, as AI can generate correct or polished outputs with minimal engagement. Using DS 774/874 as a case study, this paper combines course analysis, evidence from business analytics education research, and a targeted review of peer and aspirational programs to examine how AI is being incorporated into IS and analytics curricula. The paper proposes practical course design changes that emphasize verification, process, and defensible reasoning while allowing responsible AI use, offering a framework that can be applied across IS and analytics courses at the Peter T. Paul College of Business and Economics.
Recommended Citation
Bushnell, Andrew, "Integrating Generative AI into DS 774/874 & Graduate IS/Analytics Education" (2025). Business Analytics Student Projects and Publications. 8.
https://scholars.unh.edu/business_analytics/8