Analyze the competencies of smart school principals based on data foundation theoryFardin

Subject Areas : Education

nasrin cheraghi ¹ , Fardin Batmani ² , Naser shirbagi ³

1 - PhD Student in Educational Management, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran.
2 - ssistant Professor / Department of Educational Sciences, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran.
3 - Associate Professor of Educational Management, Kurdistan University, Sanandaj Branch, Iran.

Received: 2019-09-26 Accepted : 2020-12-25 Published : 2020-11-21

Keywords: Competence, Smart School Principals, Ordinary Schools, Foundation Data Theory,

Abstract :

he aim of this study was to investigate the differences in the competencies of smart school principals based on the foundation's data theory. This research is a qualitative research conducted in the statistical community of university professors, specialists and experts in educational technology. Samples were selected by targeted and snowball method. Finally, 22 people were interviewed and the data were analyzed through semi-structured interviews during the three stages of open, central and selective coding. In open source, post-implementation interviews were defined using content-by-line content analysis, conceptualization, and then conceptualization, and concepts and categories. In axial decoding, the relationship between classes, content determination category was selected and studied based on the characteristics related to other categories, focus on research, repetition in data and abstraction as the central category of the present research. Then other concepts were categorized in terms of causal conditions, pivotal category, strategies, context, intervening conditions and consequences, and theoretically related to each other in the form of paradigm model.
In the selected coding of the theories, according to the identified concepts and codes, the final selection was made.
Lincoln and Goba's (1985) approach was also used to provide validity and reliability.
The results showed that in the conceptual coding stage, 30 concepts were selected and identified in nine executive, decision-making, leadership, perceptual, communication, teamwork, and individual management categories. And individual competencies were placed as research theories.

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