Designing Quality Statistics Courses: A Data-Driven Approach Using GAISE and Process Improvement Tools

This 14-minute presentation from the Fields Institute's March 2025 MathEd Forum explores a data-driven methodology for designing effective college-level statistics courses. Learn how Karen Lawrence and Kathryn Vrhovnik from Mohawk College integrate process improvement methodologies with GAISE (Guidelines for Assessment and Instruction in Statistics Education) to create student-centered and industry-relevant statistics curriculum. Discover practical approaches using stakeholder analysis, CTQ (Critical-to-Quality) characteristics, and process mapping to identify strengths, gaps, and actionable strategies for statistics course design. The presentation demonstrates that developing effective statistics education requires more than just selecting topics and textbooks—it demands a structured, data-informed approach that considers stakeholder needs, critical success factors, and facilitates continuous improvement.