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HOW GENDER, LEARNING ATTITUDES, AND TEACHING EVALUATION AFFECT LEARNING OUTCOMES IN MEDICAL STATISTICS: AN EMPIRICAL
Mengyun Huang1, Wanjun Zhang1, Tianzhu Wu1
11Technology Research and Development Center of Chronic Non-communicable Diseases Prevention and Health Promotion, Anhui College of Traditional Chinese Medicine, Wuhu 241002, Anhui, China.
Objective:
Medical statistics is a core competency for medical students, yet factors influencing learning outcomes remain understudied, particularly in resource-limited settings. This study examines how gender, learning attitudes, and teaching evaluations jointly shape learning outcomes in medical statistics education.
Methods:
A cross-sectional study design was employed to conduct a questionnaire survey and performance analysis among 243 medical students at a medical college in Anhui Province. Single-factor analysis, Pearson correlation, and multiple linear regression models were used to examine the effects of gender, learning attitude, and teaching evaluations on performance.
Results:
The mean learning outcome score was 72.39±12.96. Female students demonstrated significantly better outcomes than males (74.23 vs. 60.67, p < 0.001). The total learning attitude score positively correlated with learning outcomes (r=0.192), with value judgment (r=0.208) and effort level (r=0.204) being significant contributors (both p<0.05). Multivariate regression identified female gender (β=0.349, 95% CI: 8.72-17.61), favorable course evaluations (β=0.137), and positive learning attitudes (β=0.147) as independent predictors of improved learning outcomes.
Conclusion:
Gender differences, learning attitudes, and teaching evaluations collectively influence learning outcomes in medical statistics. Targeted interventions for male students and enhanced emphasis on course value recognition may improve educational effectiveness.
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