Assessment of the medical school learning environment at United Arab Emirates University

Abstract

Abstract Background The purpose of the article was to assess students’ perception of the learning environment at the College of Medicine and Health Sciences, United Arab Emirates University using the ‘Medical School Learning Environment Survey’ (MSLES). Evaluating the learning environment and working towards its improvement is crucial for the physical and mental well-being of medical students, as it contributes to fostering an optimal learning environment. Methods Students participated in four groups: Year-1 (pre-medical), Year-2 (pre-medical), Year-3/Year-4 (pre-clinical), and Year-5/Year-6 (clinical). MSLES data was collected from each group using an online survey tool (Qualtrics XM). Latent factor structures in the learning environment constructs were assessed using ‘exploratory factor analysis’; and reliability was measured by Cronbach’s alpha. Differences among groups were assessed by ‘single factor ANOVA’. Results Three hundred seventy-seven (65%) of the 584 eligible students completed the survey. Exploratory factor analysis revealed four factors: (Genn J. AMEE Medical Education Guide 23 (Part 1): Curriculum, environment, climate, quality and change in medical education–a unifying perspective. Med Teach. 2001;23(4):337–44.) Learning experience (∝=0.71), (Maudsley RF. Role models and the learning environment: essential elements in effective medical education. Acad Med. 2001;76(5):432–4.) Student-student interaction (∝=0.69), (Gruppen LD, Irby DM, Durning SJ, Maggio LA. Conceptualizing learning environments in the health professions. Acad Med. 2019;94(7):969–74.) Student-faculty interaction (∝=0.62), and (Soemantri D, Herrera C, Riquelme A. Measuring the educational environment in health professions studies: A systematic review. Med Teach. 2010;32(12):947–52.) Academic support (∝=0.62). Students in Y3-Y6 rated the learning environment statistically significantly lower than that in Y1-Y2. Student-student interaction in Y2 was significantly lower than that in other years. Student-faculty interaction in Y1 was significantly higher than that in Y2. Academic support was significantly higher in Y1 than that in Y2-Y6. Conclusion The MSLES revealed variabilities in learning domains across the years. Improvement efforts should foster student-student collaboration in Y2 and improve academic support approaches for Y2-6. These findings provide valuable insights for medical educators to enhance the medical school learning environment and foster an optimal learning environment in lifelong medical education.

Keywords

• Learning experience
• MSLE
• Student-student interaction
• Student-faculty interaction
• Academic support