درخت حوزه‌های تخصصی

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.

Purpose: One of the methods of curriculum design is based on the positive education approach. Therefore, the aim of this study was to design and validate a curriculum model based on the positive education approach in Iran's secondary education. Methodology: This study was applied and mixed-methods in terms of objective and implementation, respectively. The research population in both design and validation parts consisted of experts and scholars in the fields of educational studies, educational management, educational psychology, and research and planning experts for the compilation of secondary education textbooks. The sample of this study, based on the principle of theoretical saturation, included 22 individuals who were selected through purposive sampling and were subjected to semi-structured interviews and completion of a researcher-made questionnaire. The data obtained from the interviews and questionnaires were analyzed using coding methods based on grounded theory, exploratory factor analysis, and structural equation modeling. Findings: Coding findings revealed that for the curriculum model based on the positive education approach in Iran's secondary education, 50 components were identified in 4 categories: causal factors (16 components), contextual and intervening factors (18 components), strategies (8 components), and effects and outcomes (8 components). Validity was confirmed through triangulation method and peer review, and reliability was calculated at 77 percent using the inter-rater agreement method. Findings from the exploratory factor analysis showed that the factor loading of each of the 50 components was appropriate, and 11 components were able to explain 86.4 percent of the total variance of the curriculum based on the positive education approach in Iran's secondary education. Structural equation modeling findings indicated that the curriculum model had a suitable fit and significantly impacted all four categories: causal factors, contextual and intervening factors, strategies, and effects and outcomes. Conclusion: Curriculum specialists and planners, based on the categories and components of this study, can take effective steps towards improving the curriculum based on the positive education approach in Iran's secondary education.

Purpose: The aim of the present study was to design and elaborate the neuro-coaching model (neuroscience of coaching) at Isfahan Steel Company. Methodology: This research is an applied study and, in terms of methodology, a mixed-methods (qualitative-quantitative) research. The statistical population of the study consisted of 15 experts from Islamic Azad Universities and managers of the Isfahan Steel Company. In the qualitative section, their opinions were used to identify and code the categories. For modeling purposes, the statistical population included a group of officials from the Isfahan Steel Company. Cochran's formula was used for sampling, resulting in a sample size of 384, and the sampling method was randomly accessible. To identify the factors, interviews were conducted initially, and with the help of open coding, selective coding, and axial coding, categories and concepts were extracted. Findings: The results of included 41 axial codes and 251 open codes. Subsequently, in the next stage, using confirmatory factor analysis, the axial, causal, contextual, intervening conditions, strategies, and outcomes were examined. Finally, consensus was reached on 209 open codes and 40 selective codes. For modeling, structural equations and partial least squares (PLS) with Smart PLS software were utilized. The results indicated that the neuro-coaching model (neuroscience of coaching) at Isfahan Steel Company is underpinned by 8 causal conditions, 8 contextual conditions, 6 intervening factors, and 7 strategies, leading to 11 major outcomes for Isfahan Steel Company. These outcomes include: improved neural process performance, personal growth and development, empowerment and psychological improvement, enhanced interactions and satisfaction, improved performance and cost reduction, psychology and personal relationships, interaction and communications, personal and psychological growth, individual and professional development, interactions and exercises, and the quality and effectiveness of neural solutions. Conclusion: In conclusion, the neuro-coaching model holds significant promise for transforming coaching practices and enhancing organizational outcomes. The integration of neuroscience principles provides a robust framework for developing more effective and scientifically grounded coaching interventions.