Extracting Educational Supervision components to formulate an Appropriate Model
محورهای موضوعی : 0Mehran Ali Panah 1 , Reza Hoveida 2 , Mohammad Ali Nadi 3
1 - Department of Educational Science – Islamic Azad University Isfahan
(Khorasgan) Branch, Isfahan, Iran
2 - Department of Educational Science – University of Isfahan,Iran
3 - Department of Educational Science – Islamic Azad University Isfahan (Khorasgan) Branch, Isfahan, Iran
کلید واژه: Supervision, Educational Supervision,
چکیده مقاله :
The aim of this study was to investigates the parameters of educational supervision in selected countries, including: (America, Japan, Canada, Australia, England and France) in order to the characteristics of educational supervision models in those countries where education is currently underway based on available documents from previous research findings, upstream regulations, structure and educational site. The Mixed research method was used in order to answer the main question of this research.The participants consisted of the school principals and educational groups from all selected countries that have advanced educational system. By dividing the country into five regions which finally led to only10 provinces with random cluster sampling method andsample-size of 380 people (of the principals and educational groups) based on Morgan table and using factorial analysis Level I& II who were selected randomly based on the results obtained from the research, educational supervisionmodel was approved and found to be valid and reliable so it can be implemented it in educationalsystem of the country. This model was designed with 42 itemsand six parameters (Educational leadership, educational management, quality of education, teaching and learning, research and social support). These 42 items actually were the consideredsubcomponentsdesigned in supervision models in form of a researcher-made questionnaire presented to the sample statistic population.Teaching – Learning as a highly-approved parameter and social support as a lowly-approved parameter were verified in a significant range from strong to weak.
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