درخت حوزه‌های تخصصی

Purpose: The aim of this study was to predict Predicting flourish in female adolescents by maternal character strengths: the mediating role of emotional regulation. Methodology: This was an applied study conducted based on a descriptive-correlational design. The statistical population consisted of 3996 secondary high school students from Rey city during the academic year of 2018-2019. For sample size, a total of 350 students were chosen according to Kerjcie and Morgan’s table and using multi-stage cluster sampling. Research tools included an actualization questionnaire developed by Soleymani et al. (2015), Seligman and Peterson’s character strengths questionnaire (2004), and emotion regulation questionnaire (Gross and Jhon, 2003). The reliability of questionnaires was confirmed by professors and their credibility by Cronbach’s alpha (α = 0.85). Data were analyzed through correlational tests and structural equations in Spss24 and Amos20. Findings: From the results, maternal character strengths directly (by a path coefficient of 0.65) and indirectly (through emotion regulation; with a Path coefficient of 0.21) influences girl’s actualization (p<0.001). Also, emotion regulation affects actualization with a Path coefficient of 0.58. Research variables predicted 51 % of the variance of secondary high school girl’s actualization (R2=0.51). Conclusion: Education and empowering character strengths, as well as regulating maternal emotions, improves girl’s actualization

Purpose: The purpose of the present study was to present a model of the effect of social intelligence on teachers' quality of life by explaining the role of risk management. The research method was mixed and implemented with two types of qualitative and quantitative approaches. Methodology: The present study was a mixed (qualitative-quantitative) analysis. The statistical population of the present study included all teachers of North Khorasan province in the academic year of 2018-19. Based on this, 10 of them were selected with the criteria of over 15 years’ experience in educational management and doctorate level and were selected as the sample of the study. The statistical population was 13,800 in the North Khorasan Province Education Department. The statistical sample of the study was 400 people using quantitative Morgan table. In the qualitative part of the study, interview questions were formulated and 10 in-depth expert interviews were conducted with educational experts in the field of educational management. Then, using qualitative theme analysis, the main concepts of index extraction and coding were performed. In the quantitative part of the research, the effect of social intelligence on teacher quality of life was explained by explaining the role of risk management by using interpretive structural modeling method. Findings: The findings of the present study showed that "social intelligence" had an impact on "quality of life" and also social health mediated the relationship between social intelligence and quality of life. Conclusion: Teachers with high social intelligence establish very good social relationships with influential and important people, and this is precisely why their risk-taking on different subject’s increases.

Purpose: Increasing improvement in the field of computer sciences, appearance and development of information networks, especially internet, facilities and new ways are provided for the programmers and executives of training plans. The purpose of present research is planning and validation of curriculum model of medium period technological competence. Methodology: This research has mixed strategy. To answer these questions, the research was done in four phases. The first phase was done with qualitative approach and other phases with quantitative approach. Handling this research in the first phase, interview, search and investigation was used for data collection. After doing interviews with 12 persons of elites and using the articles of related researches, obtaining data were collected and the questionnaire including 76 questions in 6 main effective indices on curriculum model of medium period technological competence was planned. In the next step of this questionnaire, it was distributed among some elites of managers and assistants of electronic training schools to determine efficiency amount of each noted factors in the questionnaire on curriculum of medium period technological competence and based on their idea using confirmed element analysis method was designed for medium period technological competence. Finding: Obtained findings indicated that 6 indices with 15 components make the status of network substructure with two access components to network and network quality, relation tool and collaboration with two components of concurrent and in-concurrent relationships, non-technical competences and technical skills with three components of knowledge, skill and attitude, strategies of simplicity training with three components of patterning and cooperation, management and supervision, training strategies for increasing trust with three components of trust, honesty and appreciation and management with two components of time management and support for curriculum model of medium period technological competence. In addition, confirmed element analysis of obtaining components indicated that there is acceptable curriculum model of medium period technological competence with data. The most element load was related to management (0.964) and the least one related to network substructure (0.579). Conclusion: Due to obtaining findings, we can conclude that based on the idea of experts, hardware factors such as substructure of communication networks and internet and technical skills along with software and human factors such as management play the role in designing curriculum of medium period technological competence.