Learning preferences of surgery residents: a multi-institutional study.

BACKGROUND: The VARK model categorizes learners by preferences for 4 modalities: visual, aural, read/write, and kinesthetic. Previous single-institution studies found that VARK preferences are associated with academic performance. This multi-institutional study was conducted to test the hypothesis that the VARK learning preferences of residents differ from the general population and that they are associated with performance on the American Board of Surgery In-Training Examination (ABSITE). METHODS: The VARK inventory was administered to residents at 5 general surgery programs. The distribution of the VARK preferences of residents was compared with the general population. ABSITE results were analyzed for associations with VARK preferences. χ2, Analysis of variance, and multiple linear regression were used for statistical analysis. RESULTS: A total of 132 residents completed the VARK inventory. The distribution of the VARK preferences of residents was different than the general population (P < .001). The number of aural responses on the VARK inventory was an independent predictor of ABSITE percentile rank (P = .03), percent of questions correct (P = .01), and standard score (P = .01). CONCLUSION: This study represents the first multi-institutional study to examine VARK preferences among surgery residents. The distribution of preferences among residents was different than that of the general population. Residents with a greater number of aural responses on VARK had greater ABSITE scores. The VARK model may have potential to improve learning efficiency among residents.

The Learning Preferences of Applicants Who Interview for General Surgery Residency: A Multiinstitutional Study.

BACKGROUND: Learning styles theory posits that learners have distinct preferences for how they assimilate new information. The VARK model categorizes learners based on combinations of 4 learning preferences: visual (V), aural (A), read/write (R), and kinesthetic (K). A previous single institution study demonstrated that the VARK preferences of applicants who interview for general surgery residency are different from that of the general population and that learning preferences were associated with performance on standardized tests. This multiinstitutional study was conducted to determine the distribution of VARK preferences among interviewees for general surgery residency and the effect of those preferences on United States Medical Licensing Examination (USMLE) scores. METHODS: The VARK learning inventory was administered to applicants who interviewed at 3 general surgery programs during the 2014 to 2015 academic year. The distribution of VARK learning preferences among interviewees was compared with that of the general population of VARK respondents. Performance on USMLE Step 1 and Step 2 Clinical Knowledge was analyzed for associations with VARK learning preferences. Chi-square, analysis of variance, and Dunnett's test were used for statistical analysis, with p < 0.05 considered statistically significant. RESULTS: The VARK inventory was completed by a total of 140 residency interviewees. Sixty-four percent of participants were male, and 41% were unimodal, having a preference for a single learning modality. The distribution of VARK preferences of interviewees was different than that of the general population (p = 0.02). By analysis of variance, there were no overall differences in USMLE Step 1 and Step 2 Clinical Knowledge scores by VARK preference (p = 0.06 and 0.21, respectively). However, multiple comparison analysis using Dunnett's test revealed that interviewees with R preferences had significantly higher scores than those with multimodal preferences on USMLE Step 1 (239 vs. 222, p = 0.02). CONCLUSION: Applicants who interview for general surgery residency have a different pattern of VARK preferences than that of the general population. Interviewees with preferences for read/write learning modalities have higher scores on the USMLE Step 1 than those with multimodal preferences. Learning preferences may have impact on residency applicant selection and represents a topic that warrants further investigation.