INVESTIGATING THE STATUS OF URMIA UNIVERSITY OF MEDICAL SCIENCES FACULTIES IN INPUT, PROCESS AND OUTPUT EDUCATIONAL INDICES AND PRESENTING AN UPGRADE MODEL

Currently, educational inequalities are one of the most important categories in the
field of educational planning, which has a decisive role and role in the expansion and improvement of
education and development. The aim of this study was to investigate the level of inequalities and ranking
of the faculties of Urmia University of Medical Sciences and to provide cosmetic strategies in order to
achieve sustainable educational development.
Materials & Methods: The present research is applied in terms of purpose and descriptive-analytical in
terms of method. The method of collecting statistics and data has been documentary and survey. The
statistical population in two parts included documents and statistics of 6 faculties of Urmia University
of Medical Sciences and students of the faculties of Urmia University of Medical Sciences in the
academic year 2020-2021. In the documentary part, the census sampling method has been used and in
the descriptive part, the relative stratified random sampling method has been used. In analyzing the data,
TOPSIS models, scattering coefficient, path analysis and neural networks were used.
Results: Rankings of the faculties of Urmia University of Medical Sciences using entropy and TOPSIS
weighting techniques shows that there is inequality between the faculties in terms of having research
indicators. Scattering coefficient also shows the highest inequality in output indices and the lowest
inequality in output indices. Cluster analysis and division of regions into three levels: rich, semi-rich
and poor shows that there is a difference between the faculties of Urmia University of Medical Sciences.
The results also show that the process index has the highest and the input index has the lowest direct
impact on the inequality of the faculties of Urmia University of Medical Sciences.
Conclusion: In accordance with the research findings, serious attention of planners and policy makers
on the influential variables as input, process and output to reduce inequalities is necessary.