درخت حوزه‌های تخصصی

The present study is an attempt to problematize the multivalent data in the cyberspace through the lenses of Wittgenstein’s analytic philosophy of language. Adopting this linguistic philosophy approach is aimed at exploring the dichotomous question of whether cyberspace is a possibility for social power or it is a contributory cause of communicative discontinuity and henceforth a possibility for social anomia. The central argument here is that within cyberspace there exist three languages at work each one with a degree of semiotic power: pictorial, verbal and mathematical. Since none of them is based on a one-to-one correspondence between the signifiers and the signifieds, the cyberspace users in practice are led to misinformation and disinformation instead of information. This situation creates an epistemic chasm in their real life. This is because their finite mind is not able to grasp the infinite reality of the cyberspace multivalent data. Accordingly, cyberspace with its abundance of misinformation and disinformation leads us to a mental disorder. This constitutes the real power of social media in creating a socio-political turmoil and anomia.

Purpose: The aim of this study was to investigate the effect of artistic intelligence components on students' mental health. Methodology: his study was applied in terms of purpose and descriptive-correlational in terms of data collection and quantitative in terms of method. The statistical population was all the first high school students in Sari city in the academic year 20-2019 that according to Krejcie and Morgan table, 361 people were selected by multi-stage cluster sampling. The measurement tool was a researcher-made questionnaire of art intelligence with 55 items and mental health of Omidian and Alavi Langroudi with 46 items whose construct validity, using factor analysis method and reliability value through Cronbach's alpha coefficient, respectively. 0.94 And 0.92 were calculated. Data were analyzed using Pearson correlation coefficient and regression analysis. Findings: The results showed that there is a significant relationship between artistic intelligence and its components (artistic talent, artistic attitude, artistic taste, artistic activity, artistic skills and art economics) with students' mental health. The components of artistic intelligence have a significant impact on mental health, as a total of 57% of students' mental health is explained (predicted). Also, the artistic taste component has the largest share in predicting students' mental health. Conclusion: By creating the necessary opportunities, the necessary grounds for the flourishing of talents and the participation of all talented and artistic students can be provided, and by thanking and appreciating them and awarding prizes on various occasions. , Provided the grounds for their encouragement to develop their artistic skills.

Purpose: The aim of this study was to design a talent management model for primary school principals in Zanjan. Methodology: The method of the present study was a combination (qualitative and quantitative) and in terms of purpose it was an applied research. The statistical population of the qualitative section was experts who were theoretically familiar with the concept of talent management and based on purposive sampling, 17 of them were interviewed until theoretical saturation. The statistical population in the quantitative part was all primary school principals in Zanjan province (1079 people) in the academic year 2018-19 that according to Krejcie and Morgan table, 283 people were selected by stratified random sampling method. Qualitative research tools were interviews and in the quantitative part, a researcher-made questionnaire was developed based on qualitative results. The validity of qualitative results was obtained by reviewing the codings and using the agreement coefficient between the coders and for the questionnaire with face validity and reliability by Cronbach's alpha test (0.88). For the analysis of qualitative data, the method of basic theory and open, axial and selective coding were used, and for a small part of the structural equations in Amos software version 24. Findings: Qualitative data analysis identified 63 concepts and 10 central themes (environmental, cultural, motivational, educational, human resource management, personal characteristics, regulatory, communication, organizational, managerial and structural factors) that the theme Selective research also obtained effective factors on talent management. The results of structural equations also showed that organizational factors with factor load (0.85), educational (0.83) and cultural (0.80) were more important and in general, the proposed model had a good fit. Conclusion: Improving talent management requires attention to various factors that the education system by investing in organizational, educational and cultural factors can help improve the talent management of managers.