Massively-scalable auto-graded online assessments with adaptive feedback using PrairieLearn

Auto-graded online assessments have become increasingly critical in supporting ever-growing university courses. Recent advances in online assessment platforms have enabled the design and incorporation of immediate adaptive feedback that is uniquely tailored to a student’s specific misconceptions. In this presentation, I will discuss how to design and develop such online assessments using the PrairieLearn platform, and I will demonstrate how I have utilized PrairieLearn to implement massively-scalable assessments in 3 vastly different courses. I will also demonstrate how, when utilized with PrairieTest via UC San Diego’s Triton Testing Center’s Computer-Based Testing Facility, I have been able to reuse the assessments I developed directly within self-scheduled proctored in-person exams.