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Examination of the Dundee Ready Educational Environment Measure (DREEM) Model-Based Educational Quality in the
Shaghayegh Pazoki1, Maryam Hajiahmadi2, Elham Saffarieh3
1Medical School, Semnan University of Medical Sciences, Semnan, IRN.
Introduction:
It is widely recognized that there is a significant correlation between the quality of the learning environment and the level of satisfaction and achievement of students. To enhance the quality of education, it is vital to discern and rectify any inadequacies or deficiencies within the learning environment. Since the examination of strengths and weaknesses of the clinical learning environment provides valuable information to educational managers in improving the quality of education, the primary objective of this study was to examine the educational atmosphere prevalent in the principal clinical departments of the academic medical centers affiliated with Semnan University of Medical Sciences. The investigation was carried out based on the principles of the Dundee Ready Educational Environment Measure (DREEM) model.
Materials And Methods:
The present study was conducted with a descriptive-analytical approach which consisted of 232 trainees and interns affiliated with the departments of pediatrics, gynecology, internal medicine, and surgery. Sampling was done by census method. Then, a standard questionnaire was designed based on the DREEM model in Google Forum and its link was uploaded by representatives in class groups and channels. The data were collected within a period of three months and then were statistically analyzed using SPSS, version 24 (IBM Corp., Armonk, NY).
Results:
Based on the results, the mean age of students was 23.92 years. The mean score of the educational environment of interns and stagers based on the questionnaire was 122.45 and 143.35, respectively. Regarding the mean score of the educational environment, a statistically significant difference was observed between pediatric and internal medicine (P-value<0.001), and surgical and internal medicine departments (P-value=0.03).
Conclusion:
In general, the educational environment was evaluated as semi-optimal from students' point of view; thus, it appears imperative for university officials to allocate greater attention toward enhancing the quality of the learning environment by devising more meticulous plans and engaging in consistent self-assessment of the educational landscape.
