درخت حوزه‌های تخصصی

Purpose: The purpose of this study was to compare teacher’s empowerment systems based on in-service trainings. Methodology: The present study was practical in terms of purpose and qualitative research in terms of data collection using a four-stage approach introduced by George. Z. Brady and John Stuart Mill’s method of agreement .The statistical population included countries (Canada, South Korea, Japan, Finland, and Australia, due to the absence of African countries in the ranking, Malaysia due to its close cultural and political context) according to the ranking in Legatum Success Index (2019) and the characteristics of pre-service and in-service teacher training (Arthur Donald chaker and Richard Hines, 1997) that was selected based on purposive sampling .The information needed to answer the questions of this research has been collected through library documents, research reports, encyclopedias and university statutes, and site searches. Findings: Research findings show that teacher’s professional development should be considered as a process system and their professional development should be systematically designed, supported, budgeted and reviewed. This system should promote and make teachers effective. Conclusion: Each country’s principals and officials considering regional requirements along with upstream documents implement different measures and programs to improve the quality of teacher’s empowerment programs

Purpose: The present study was conducted with the aim of presenting a professional development model for high school teachers. Methodology: The research is applied in terms of purpose and exploratory in terms of mixed method. In the qualitative section, the statistical population included all experts in education and training sciences in Tehran that a sample of 15 people was selected by purposive sampling using the principle of theoretical saturation from the above community. In the quantitative part, the statistical population included all high school teachers in Tehran that 382 people were selected by stepwise cluster sampling. In order to collect data in the qualitative part, an in-depth semi-structured interview with 5 open-ended questions was used, and in the quantitative part, a researcher-made questionnaire was used to design a career development model. Qualitative data analysis was performed using thematic analysis method and partial least squares method was used to analyze quantitative data. Findings showed that the components of professional development according to experts included three dimensions of professional knowledge, professional commitment and professional ability. Findings: The results of factor analysis on 25 items of professional development model showed that the factor loads of the items of each factor and the relevant t-index had a factor load of more than 0.4. Also, all variables had the mean and extracted variance above 0.5. Also, in order to determine the reliability of data collection tools, Cronbach's alpha method was used. The values ​​of these coefficients for all variables were above 0.7, which indicated the appropriate reliability of the questionnaire. There is a strong link between the role of human capital and the development of countries. Conclusion: Human capital growth is a set of knowledge, skills and characteristics that lead a person to individual, organizational and social success.

Purpose: Considering the quantitative growth of university growth and technology centers in the country and the need for solutions to facilitate the success of these companies in global competition, this study identifies the indicators of innovation ecosystem of university growth and technology centers with the knowledge-based economy approach with data foundation approach. Methodology: This research was based on empirical philosophy and has been done with a deductive-inductive approach. From the perspective of the goal, it was a fundamental research that has been done with a mixed research method. The study population of this study includes entrepreneurship professors and managers who have work experience in knowledge-based companies. Sampling was done by non-probabilistic and purposeful sampling method. Data collection tools are interviews and questionnaires. In the analysis of the interviews, the data theory of the foundation (selective, open and pivotal) was used. Also, the identified indicators have been validated by fuzzy Delphi method. Finally, the final model of the research is presented. Research data analysis was performed in the qualitative phase with MAXQDA software and in the quantitative phase with Matlab software. Findings: To achieve the objectives of the research, by analyzing interviews with experts, a set of practical indicators of the innovation ecosystem were identified. In the open coding stage, 517 codes were identified, which with the observed observations, 9 main categories and 41 sub-categories were obtained. Conclusion: Based on the achievements of this study, issues such as organizational management, growth center rules and regulations, innovation ecosystem infrastructure, knowledge ecosystem, innovation ecosystem, ecosystem capital, economic ecosystem, innovation ecosystem challenges and key players are key elements in the success of these universities in knowledge-based economy was considered. These cases also interact with each other in 41 minor areas.