I’d start by collecting quantitative and qualitative data: pass rates by cohort for the last three years, item-level exam performance, question blueprint coverage, assignment scores, attendance, LMS engagement (login frequency, time-on-task), remediation uptake, and student feedback surveys. I’d segment by demographics and prior GPA to spot at-risk groups and run item analysis to identify content or question clusters with <60% correct. With limited resources, I’d prioritize high-impact, low-cost interventions: add weekly formative quizzes with automated feedback (increase practice opportunities by ~30%), targeted 6-week peer-tutoring for the bottom 20% of performers, and a 2-session faculty calibration on assessment alignment. I’d set a measurable goal—raise pass rate by 8–12% in one year—and monitor monthly dashboards to iterate interventions.
Takes 5-10 minutes
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