درخت حوزه‌های تخصصی

Purpose: The blended training implies a continuous process of teaching and learning. Therefore, the current research was conducted with the aim of determining the causal relationships between the identified factors in the development model of blended training in Tehran education. Methodology: The current research in terms of purpose was applied and in terms of implementation method was descriptive from survey type. The population of this study was all the managers and assistants of education in Tehran city, which number of 242 manager and assistant were selected as a sample using the available sampling method. The research tool was a researcher-made questionnaire of development of blended training in education with 75 items. The data were analyzed with the methods of exploratory factor analysis and structural equation modeling in SPSS-V23 and LISREL-V8.8 software. Findings: The results of this study indicated that the development model of blended training in education had three components of constituent factors, organizational factors and educational factors, which its validity and reliability were confirmed. Also, the development model of blended training in education had a good fit and in this model, organizational factors and educational factors had a positive and direct effect on constituent factors of blended training in education (P<0.05). Conclusion: According to the results of this study, in order to improve the development of blended training in education can provide the ground for the realization of organizational factors and educational factors.

Purpose: The main purpose of this article is to identify and analyze the factors affecting the maturity management of educational technology in Iranian schools. Methodology: The research method is mixed (qualitative-quantitative). To conduct this research, in addition to document study, thematic analysis technique with MAXQDA12 software was used to identify factors and components. The statistical population in this research were all experts in the field of educational management and educational technology, as well as regional managers with high experience and work experience in education, which was done after 14 theoretical saturation interviews. The interviews lasted between 75 and 120 minutes. Finally, the basic, organizing, and inclusive themes are extracted and in the quantitative part, the Dimtel technique is used to determine the effectiveness of the dimensions of educational technology. Findings: According to semi-structured interviews, 4 dimensions (educational technology knowledge management, educational technology resources and facilities, control and coordination on educational technology and educational technology infrastructure), 15 components (organizing themes) and 55 indicators (basic themes) In order to manage the maturity of educational technology in Iranian schools, it was extracted. After that, according to the questionnaire of paired comparisons to identify the influential and influential dimensions, it was determined that the dimensions of educational technology infrastructure, knowledge management of educational technology, control and coordination of educational technology, and resources and facilities of educational technology are respectively more influential. Conclusion: The findings of this study have many practical implications for managers and officials of the education system, and they based on the results of this study can take an effective step towards improving the maturity management of educational technology in Iranian schools.

Purpose: The cities of the world are becoming centers of innovation, and today the technological entrepreneurship ecosystem is very important. Therefore, the purpose of this study was to investigating the relationship of technological entrepreneurship ecosystem and crowd funding according to Isenberg's model. Methodology: In a descriptive-analytical study from type of correlation, 225 people from middle and senior managers and experts in the field of investment were selected as a sample based on Cochran's formula by simple random sampling method. The samples responded to the standard questionnaires of technological entrepreneurship ecosystem (Isenberg, 2011) and crowd funding (Shabanian, 2012), whose validity and reliability were confirmed. Data were analyzed with Pearson correlation coefficients and linear regression tests in SPSS24 software. Findings: The findings showed that all six components of the technological entrepreneurship ecosystem including policy, financing, culture, supports, human capital, and markets had a positive and significant correlation with all four components of crowd funding including the type, role, goals, and scope of crowd funding. Also, the components of technological entrepreneurship ecosystem could significantly explain 62.7% of crowd funding changes, which according to the beta value, the variables of policy, human capital, culture, markets, financing and supports had a direct and significant effect on crowd funding (P<0.001). Conclusion: The results indicated the relation and effective role of technological entrepreneurship ecosystem in crowd funding. Therefore, for the improvement of crowd funding can be provided the ground for the promotion of the technological entrepreneurship ecosystem.

Purpose: The purpose of this research is to provide a management model for preventing cyber addiction in the youth of Zanjan province. Methodology: The present research is applied in terms of purpose and descriptive-survey in terms of research implementation method; And it is specifically based on structural equation modeling. The statistical population of the research includes teachers, educational and research assistants and managers of education and schools in Zanjan province, and according to Cochran's formula, 370 people were selected as a sample. Sampling was done by simple random method. The collection tool in this research is a researcher-made questionnaire derived from the qualitative method. To analyze the data from the confirmatory factor analysis tests to examine the research question using SPSS version 23 software; Structural method was used to compile the model and AMOS software was used to design the final research model. Findings: The findings of the research showed that the components of family factors, individual factors, attractions of virtual space, lack of media literacy, social conditions, cultural environment, social policies, unemployment and poverty, social participation, family education, life skills education, cultural and sports facilities, virtual space management, increasing efficiency, promoting mental health have a good fit in the measurement models. Conclusion: In order to prevent the disintegration of families, parents must be somewhat familiar with and aware of today's technologies.