Abstract
This paper describes an AI-infused simulation designed to enhance graduate-level statistical consulting education by bridging theoretical learning with realistic professional practice. Piloted in a master's-level capstone course, the simulation engaged students in consultations with an AI client, requiring them to practice communication, problem framing, methodological justification, and decision-making under authentic conditions. Evidence drawn from interaction transcripts and student reflections showed growth in consulting skills and technical confidence, alongside challenges such as an overly knowledgeable AI client, conversational limitations, and ethical questions raised by participants. The paper details the simulation's structure, instructional integration, and evaluation, offering a model that can be adapted across graduate statistics curricula to strengthen students' preparation for professional practice.
Keywords
Artificial Intelligence, Education, Ethics in AI, Statistical Consulting, Professional Development
How to Cite
Guerrero, M., Jaynes, J. & Le, S. N., (2026) “Engage, Reflect, Improve: Enhancing Statistical Consulting Courses with AI Simulations”, Ohio Journal of School Mathematics 103(1): 1, 1-24. doi: https://doi.org/10.18061/ojsm.6624
