Analysis of desirable indicators of a comprehensive education system dedicated jobs in the supervisory organization Using the mixed method

Subject Areas : Education

Masoomeh Bagheri ¹ , Fardin Batmani ² , Fardin Abdollahi ³

1 - Ph.D Student in Educational Management, Department of Educational Sciences, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran.
2 - Assistant Professor of Educational Management, Department of Educational Sciences, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran.
3 - Assistant Professor of Educational Sciences, Department of Educational Sciences, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran.

Received: 2020-11-24 Accepted : 2020-12-22 Published : 2022-03-21

Keywords: Model, Education System, Indicator, Dedicated jobs, Optimal condition,

Abstract :

Introduction: The aim of this study was to investigate the indicators of the optimal status of the private job training system in the educational model of the supervisory organization.
research methodology: The research method used is descriptive and mixed in terms (a combination of qualitative and quantitative methods). The data collection tool is semi-structured in the qualitative part of the interview and 0.956 in the quantitative part of the researcher-made questionnaire with Cronbach's alpha. The statistical population in the qualitative part of professors and experts and in the quantitative part includes all people in the eleven specialized jobs of the supervisory organization with more than ten thousand people and qualitative sampling in a non-probabilistic and purposeful manner, is 33 people with whom Semi-structured interviews were conducted and in quantitative sampling using Morgan table, 369 people completed a questionnaire by cluster sampling in 16 provinces. For data analysis in the qualitative part of open, axial and selective coding and MAXQDA2018 software and for data analysis in the quantitative part, from SPSS22 and Smart PLS3 software and confirmatory factor analysis method, path analysis and structural equation modeling Used.
Findings:Six predictive categories in the desired situation include: organizational culture, development of learners' competence, human resource development policy, motivation of learners, intelligent design of the educational process and development of a comprehensive education system based on standards and models of educational excellence that have a significant correlation with each other
Conclusion:  Based on the research findings, six categories have significant correlations and are in good condition.

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