درخت حوزه‌های تخصصی

Purpose: The purpose of this study was to identify early growth indices of general managers in order to present the growth pattern of general managers of Iranian provinces in the academic year of 2017-2018. Methodology: To this end, the qualitative research approach and data arising theory (systematic design) have been the criterion for action in this study. The statistical population consisted of all heads of education provinces of Iran. Purposive sampling continued until the researcher saturated theoretically using a semi-structured interview with 14 sample members. Findings: The results showed 16 main categories that were modeled as a paradigm model including: causal conditions (organizational factors; extra-organizational factors; individual traits), focal categories (leadership and management traits; individual traits), growth strategies (extras organizational factors, organizational factors; Individual factors), contextual factors (social factors, economic issues, cultural issues), intervening factors (organizational factors; individual factors) and outcomes (community; organizational factors; individual factors), using the results of theoretical and background studies Research and analysis of the content of interviews conducted, early indicators of modality development The whole thigh has been identified and included in three stages of open coding, axial coding, and selective coding of general manager maturity model in five main categories of causal conditions, pivotal phenomenon (general manager maturity model), general manager maturity strategies, intermediary conditions, and managerial maturity outcomes. Conclusion: The professional development of principals leads to the implications that at the community level in the form of education and training of students, the formation of interaction with education and personal growth, growth, performance, communication, thinking and management and decision making, decision making. Finds and manages.

Purpose: The main purpose of this study was to identify the components of SMEs' knowledge rewards, and based on other components, learning and development strategies were developed based on the obtained components. Methodology: The present study was a descriptive survey in terms of purpose and method of data gathering and was mixed in terms of research method. Therefore, in the qualitative part, using semi-structured interviewing tool with 15 human resources experts and stakeholders Interviews were conducted and the data were analyzed using qualitative content analysis and a model was designed by combining them. Then, the model was tested by a researcher-made questionnaire and sample of 162 SMEs in Tehran, using quantitative structural equation research method with LISREL software and then to formulate strategies and strategies related to learning and learning. The paired t-test and SPSS software were used for development. Reliability of qualitative part of Holstein method was 0.83% and Cronbach's alpha coefficient was 0.81. Findings: The findings showed that 22 sub-components of comprehensive reward factors were identified, all of which had appropriate factor loadings and the model was confirmed. Among the non-material dimensions of learning and development, it was the most important factor and in explaining learning and development strategies, the highest gap was observed in education, which was the first and foremost strategies in this field. Conclusion: The findings of the study confirm the relationship of each of the material and non-material components to the concept of comprehensive reward, but the most important is the importance of the material components to the comprehensive reward. In the payment component, cash awards and in benefits, the benefits of flexibility had the highest impact, but among the non-material components that were secondary to the overall reward, the highest impact was on the learning and development component, which included performance evaluation. It matters the most. Non-material factors were expected to be of high priority for knowledge workers, but this was not favorable to the statistical population.

Purpose: The purpose of this study was to investigate the relationship between social capital and quality of life with job satisfaction of teachers. Methodology: The present study was a descriptive correlational one in terms of purpose and method of data collection. The target population of this study was the teachers of Tehran city in 1998-99. 180 individuals were selected through multistage cluster random sampling. Data were collected using the Gannon Job Satisfaction Questionnaire (1981), Nachapithe and Guchal Social Capital Questionnaire (1998), and the World Health Organization Quality of Life Scale (1996). Findings: The results showed that social capital and quality of life had a significant positive relationship with teachers' job satisfaction. Also, structural capital, communication capital and cognitive capital and quality of life significantly predicted 48% of teachers' job satisfaction (P <0.05). Conclusion: The results of the study showed that social validity and validity, which are the major components of teachers 'social capital, determine the quality of life and will lead to teachers' job motivation and job satisfaction.

Purpose: The aim of this study was to compare the effectiveness of transcranial magnetic stimulation (tms) and cognitive-behavioral therapy (cbt) in patients with depression in Tehran. Methodology: The purpose of the present study is to apply the pre-test and post-test with control group in terms of semi-experimental research method. The study sample consisted of 60 clients with depression who had been diagnosed by the Psychiatric Commission and admitted to psychology clinics in 2015. They were selected by random sampling and were randomly divided into three groups (two experimental and one control group) in each group of 20 persons. . Experimental groups in one group underwent cognitive-behavioral therapy for 12 sessions and the other group underwent transcranial magnetic stimulation for 20 sessions. Control group received no intervention. Data were analyzed using covariance analysis. Findings: The results showed that there was a significant difference between transcranial magnetic stimulation and cognitive-behavioral therapy in reducing depression in clients (P <0.01). Conclusion: Transcranial magnetic stimulation therapy and cognitive-behavioral therapy are effective in reducing depression in patients referred to psychiatric clinics.

Purpose: The aim of this study was to develop a standard model of teachers' professional competence on the basis of high-level documents. Methodology: This was an applied research in terms of purpose and was a sequential exploratory mixed study in terms of data collection. Data collection tools in the qualitative phase were the analysis of the content of high-level documents (Fundamental Reform Document of Education (FRDE), National Curriculum, Comprehensive Scientific Map of the Country, and 20-Year Perspective Document for Iran) to extract the components. In order to ensure the validity of the content analysis checklist, content and face validity method and expert opinion were used. The data in qualitative phase were analyzed through three open, axial and selective coding methods. The findings included 69 symbols in the open coding, where they were classified in the form of 4 concepts including recruitment, teacher education, teacher retention & promotion and evaluation in the axial coding. In the selective coding stage, a standard model of teachers' professional competence on the basis of high-level documents was developed. The research instrument in the quantitative phase was a researcher-made questionnaire derived from the qualitative results of the research. The face and content validity of the questionnaire was confirmed by experts in the field of education. Confirmatory factor analysis, convergent validity, and divergent validity were used to evaluate the construct validity, and hybrid reliability was used to evaluate the construct reliability. As well as, in the quantitative phase of research, structural equations under Smart PLS software were used to evaluate the standard model of teachers' professional competence. Findings: According to the results of t-statistic, all factor loadings were significant at 99% confidence level and played a significant role in developing the standard model of teachers' professional competence on the basis of high-level documents of Education. Conclusion: The proposed model enjoyed an appropriate quality and was approved. Managers, teachers, and administrators in the education of teachers can employ the symbols, concepts, and categories identified in this study in their future planning to shape the teachers' professional competence.