Gender differences in learning and study strategies impact medical students’ preclinical and USMLE step 1 examination performance

Abstract

Background Evaluation of students’ learning strategies can enhance academic support. Few studies have investigated differences in learning strategies between male and female students as well as their impact on United States Medical Licensing Examination® (USMLE) Step 1 and preclinical performance. Methods The Learning and Study Strategies Inventory (LASSI) was administered to the classes of 2019–2024 (female (n = 350) and male (n = 262)). Students’ performance on preclinical first-year (M1) courses, preclinical second-year (M2) courses, and USMLE Step 1 was recorded. An independent t-test evaluated differences between females and males on each LASSI scale. A Pearson product moment correlation determined which LASSI scales correlated with preclinical performance and USMLE Step 1 examinations. Results Of the 10 LASSI scales, Anxiety, Attention, Information Processing, Selecting Main Idea, Test Strategies and Using Academic Resources showed significant differences between genders. Females reported higher levels of Anxiety (p < 0.001), which significantly influenced their performance. While males and females scored similarly in Concentration, Motivation, and Time Management, these scales were significant predictors of performance variation in females. Test Strategies was the largest contributor to performance variation for all students, regardless of gender. Conclusion Gender differences in learning influence performance on STEP1. Consideration of this study’s results will allow for targeted interventions for academic success.

Exploring the potential of artificial intelligence to enhance the writing of english academic papers by non-native english-speaking medical students - the educational application of ChatGPT

“…Previous studies have shown discrepancies in language learning and language-related skills between males and females. In order to mitigate any potential biases, we implemented gender correction techniques, which encompassed statistical adjustments to accommodate these gender variations [ 20 – 22 ]. The questionnaire was distributed and collected using the Wenjuanxing platform (Changsha Ran Xing Science and Technology, Shanghai, China.…”