Design and implementation of an asynchronous online course-based undergraduate research experience (CURE) in computational genomics
Fig 3
Increase in student knowledge and skills after genomics CURE.
(A, B) Boxplots depicting mean student assessment scores before (green) and after (orange) completing the genomics CURE. Each point represents a student who completed both the pre- and post-assessments and the lines connect pre-assessment and post-assessment scores for each student. The mean class score significantly increased from 65.96% to 77.61% (paired t test p-value 0.003, Cohen’s D-statistic 0.79, medium-large effect) for iteration 1 (A) and 61.62% to 65.16% (paired t test p-value 0.00002, Cohen’s D-statistic 0.82, large effect) for iteration 2 (B). (C) Boxplots depicting each pre-assessment (green) and post-assessment (orange) score for all questions divided by topic for CURE Iteration 2: Biology/Statistics, Coding, and Professional Development.