Results from a Multi-Institution Study of the Progression and Retention of Student Learning Using Simulation-Based Inference

• Activity Number: 287 - Student Outcomes in Undergraduate Courses Using a Simulation-Based Inference Approach to Teaching Statistics
• Type: Topic Contributed
• Date/Time: Tuesday, July 31, 2018 : 8:30 AM to 10:20 AM
• Sponsor: Section on Statistical Education
• Author(s): Nathan Tintle*
• Companies: Dordt College
• Keywords: simulation-based inference; SBI; Stat 101; Assessment; Retention; conceptual

Abstract

Simulation-based inference has been gaining in popularity as an alternative framework on which to scaffold students understanding of the core logic of statistical inference in the algebra-based introductory statistics course (Stat 101). For the last five years, our group has been evaluating students' attitudes, conceptual understanding, and learning trajectories in simulation-based curricula through a large scale, multi-site assessment project involving over 10,000 students and 200 instructors. In this talk I will summarize findings from this multi-institution project looking at overall trends in student performance including curricular differences in post-course performance and retention.