Designing an interpretative structural model of solutions for continuous improvement of the performance of primary schools in Sama

Document Type : Original Article

Authors

1 PhD student in educational management, Garmsar Branch, Islamic Azad University, Garmsar, Iran

2 Associate Professor of Educational Management, Garmsar Branch, Islamic Azad University,Garmsar , Iran

3 Assistant Professor of Educational Management, Khwarazmi University, Tehran, Iran

10.22034/popsci.2023.356380.1231

Abstract

The purpose of this research was to design an interpretive structural model of solutions for continuous improvement of the performance of primary schools in Sama with an interpretive structural modeling approach. The current research is of mixed type (qualitative and quantitative). In the first phase, a qualitative research method was conducted using thematic analysis, and in the second phase, a quantitative method was conducted based on interpretive structural modeling. The statistical community in both qualitative and quantitative sections, considering the expert-centeredness of the interpretive structural modeling approach, formed experts who included faculty members in the field of educational management. Also, the opinions of Sama headquarters managers, Sama school managers, teachers and trainers of Sama schools and students were used. The measurement tool was a semi-structured interview in the qualitative part and a questionnaire in the quantitative part. Validity and reliability of the data were confirmed. Two methods of theme analysis (Max QDI software) and Interpretive Structural Modeling (ISM) (Excel software) were used for data analysis. 5 main themes have been identified for continuous improvement strategies of Sama primary schools. Facilities and equipment are placed in a linked cluster, which means they affect other factors and are affected by other factors; Managers and management are located in the independent cluster, which means that they have a great influence on other factors, and other factors have little influence on it, and teachers and programs are located in the dependent cluster, which means that they are influenced by other factors and have little influence on other factors.

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