درخت حوزه‌های تخصصی

Abstract Purpose: Smart schools are schools equipped with electronic devices and advanced technology where innovative and new way of learning is taught by processing data and communication within the context of suitable curriculum. Methodology: The basis of current research has been designed to compare the effectiveness of developing creativity between two groups of female high schoolers attending smart schools versus female students attending non-smart schools. Furthermore, all the female subjects were attending 3rd grade which is equivalent of 11th grade students worldwide. The method utilized in this research is the comparison evaluation type. The statistical society of research subjects included female high schoolers of Tehran’s District 8 which encompasses of 10 public schools, 6 non-public or private schools, and one smart high school, with the total population of 1020 in which 300 students were selected by classified random method as the sample group of research. The mentioned random groups were selected from all above-mentioned schools accordingly to their populations. Initially, in order to assess the level of creativity, part A of the Torrance test was given to all subjects at the beginning of the school –year. Part B of the same test was given at the conclusion of the school-year. Finding: The yielding outcome of both tests were analyzed with T test, variance method, and Schaffer's follow-up test final and total assessment and evaluation of all the results a conclusion was reached indicating that the type of smart or non-smart schools had no effect in developing and advancing creativity. Discussion: However, the dual comparison between private and public schools demonstrated a real and factual significant differences with respect to developing creativity. This fact implies that private high schools are more equipped and suited to develop creativity.

Purpose: The aim of the present study was to identify the causes of social isolation and design a relevant model for high school students. Methodology: This was an applied study in terms of its aim and mixed-method study in terms of its implementation method (qualitative and quantitative). The study population in the qualitative section included documents and resources and educational management experts and, in the quantitative section, 180 female high-school first-year students in Gorgan during the academic year 2019-2020. According to the data saturation principle, the research population in the qualitative part included documents and resources related to social isolation and 10 educational management experts who were selected by purposive sampling. According to Cochran's formula, the study population in the quantitative section included 180 female high-school first-year students who were selected by cluster sampling method. Data were collected by note taking, interviews and a researcher-made questionnaire (39 items), the construct and convergent validity of which were confirmed and its reliability was obtained α=0.96 by Cronbach's alpha method. Data were analyzed by open and axial coding methods, factor analysis and structural equation modeling in MAXQDA software. Findings: The findings of the qualitative section showed that social isolation consists of six components and 40 indicators, including socio-economic anomalies (7 indicators), individual variables (9 indicators), parental role (5 indicators), strengthening social relations (6 indicators), psychological interactions (10 indicators), and family level (3 indicators). The findings of the quantitative section showed that the social isolation model had a good fit and all six components, i.e. socio-economic anomalies, individual variables, parental role, strengthening social relations, psychological interactions and family level had a significant effect on social isolation (P<0.05). Conclusion: According to the results, sociologists can use the social isolation model designed in the present study to reduce social isolation; therefore, it is necessary to pay attention to the role of effective components.