Criteria for evaluating technology leaders in schools: Mixed research

Authors

  • hossiny, abbas Ph.D. Student of Curriculum Development, Faculty of Literature and Humanities, Bu-Ali -Sina University, Hamadan, Iran.
  • seraji, farhad , Associated professor of Curriculum Development, educational science group, Faculty of Literature and Humanities, Bu-Ali- Sina University, Hamadan, Iran.
  • Yousefzadeh Chosari, Mohammad Reza , Associated professor of Curriculum Development, educational science group, Faculty of Literature and Humanities, Bu-Ali- Sina University, Hamadan, Iran.
Abstract:

The goal of this research was to extract criteria for evaluating technology leaders and it was conducted by mixed method.  The research method was descriptive in the qualitative part and survey method in the quantitative part.  The research was carried out in smart and semi-smart  primary schools in Zanjan province in the academic year of 1398-99. Participants of the qualitative part were fifteen principals from smart schools who were selected using the criterion sampling method considering the principle of theoretical saturation. In the quantitative part, the statistical population included 228 smart and semi-smart school principals in Zanjan province. According to Krejcie and Morgan Table, 139 principals were selected as a research sample by relative stratified random sampling. In the qualitative part, Data collection tools were Semi-structured interviews and in quantitative one, a researcher-made questionnaire was developed. The validity of this questionnaire was confirmed by confirmatory factor analysis. Its reliability was obtained by calculating Cronbach's alpha coefficient for 0.83. . The method of analysis in the qualitative part was content analysis. According to content analysis, 6 main components including planning, organizing, leadership, control, educational and physical factors and 30 criteria for evaluating school technology leaders were identified. The validity of the components was calculated to be 0.88 using CVR. In quantitative part, descriptive statistics and Kolmogorov-Smirnov test Single group T and T in correlated groups were used to analyze the data. The results showed that the status of the evaluation components of school technology leaders was higher than the average in the planning component and physical factors. It was higher than average in the component of leadership, organization, and control and educational factors. In general, the components were higher than the average. Therefore, criteria can be used to evaluate school technology leaders.

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Journal title

volume 10  issue None

pages  173- 209

publication date 2021-04

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