درخت حوزه‌های تخصصی

Purpose: The purpose of this study was to design and validation of a desirable model for developing critical thinking in the first-grade high school curriculum based on the upper documents of education in Iran. Methodology: This research is an evaluation study which the field research has been used in doing that. In this study, three methods were used to collect data. With reviewing the literature review of the research, the components of common critical though by various theorists and researchers were specified then, the national curriculum was analyzed with respect to the components of critical though. In the next step, the proposed model was designed and validated according to the components emphasized in the upper documents. A researcher-made questionnaire was used for validation. The research community consists of all curriculum practitioners who are as permanent members in Iranian Student Planning Association (500 people). In this research, simple random sampling method was used for sample selection and Morgan table was used to determine the sample size (217 ones). Findings: In addition to descriptive statistics, Chi-square method with an acceptable error rate of 0.05 was used for data analysis. The results of the research indicate that all the hypotheses and the appropriateness of the proposed model have been confirmed by specialists. Discussion: According to the results of the research Reviewing the objectives, content, learning activities and evaluation practices in Iranian first-grade high school education system with emphasis on developing the critical thinking in students can be proposed.

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.

Cyberactivism, as civic engagement, is enabled by social media, and has attracted many users to participate in leading social change. To shed more light on the relationship between cyberactivism and real-world (social) activism, within a quantitative approach, employing correlational research design, and a group comparison research design, the current research examined two linear regression models for the relationships among online sharing, homophily, attitudinal influenceability, and behavioral influenceability, and also, among behavioral influenceability, cyberactivism and social activism, and then examined the effects of sociodemographic characteristics of Iranian Instagram users on these variables in a 393-participant sample. The alternative hypotheses about the relationships among the variables in these two models, were retained. The results also showed that age, gender, and occupational status had effects on almost all variables. This study contributes to the existing literature by introducing attitudinal and behavioral influenceability as important factors influencing cyberactivism and social activism. It encourages governments to take full advantage of online activities and cyberactivism to promote social participation and real-world activism, especially among youth and females, to transcend society, and better solve societal and global problems with the collective wisdom.