درخت حوزه‌های تخصصی

Purpose: The education system plays a crucial role in the growth and progress of any society and, as one of the main institutions developing intellectual capital and specialized human resources, it holds a sensitive responsibility in achieving sustainable development. Therefore, it should focus on improving the quality of its service delivery to meet people's expectations and increase their satisfaction. Accordingly, the aim of this study is to design a superior service delivery model in the field of education to enhance public satisfaction. Methodology: This research is applied in purpose, exploratory in nature due to its qualitative research approach, and descriptive-survey in terms of data collection and implementation. In the first phase, the population consisted of scientific documents and records, from which 38 studies were selected as the research sample based on inclusion criteria and purposive sampling method. In the second phase, academic and organizational experts were chosen based on the principle of theoretical saturation and purposive sampling technique, totaling 16 individuals. The data collection tool in the first phase was a systematic review of scientific documents and records through meta-synthesis, and in the second phase, semi-structured interviews with experts through thematic analysis. Validity through the CASP tool and reliability through Cohen's kappa coefficient were obtained at 0.56. The validity and reliability of the interview tool were also examined based on criteria of accuracy, credibility, dependability, transferability, and confirmability, which were ultimately confirmed. Finally, the data were analyzed using thematic analysis in MAXQDA software. Findings: The findings of this research identified 69 indicators, 13 components, and 3 dimensions for superior service delivery in the field of education to enhance public satisfaction. The dimensions of superior service delivery included: quality of educational services (with 9 components: tangibles, accountability, assurance, empathy, courtesy, dynamism, diversity, citizen-centricity, and monitoring and control), productivity of educational services (with 2 components: service efficiency and effectiveness), and intelligence of educational services (with 2 components: digitalization and the use of modern technologies). Ultimately, considering these dimensions, components, and identified indicators, the final model of the study was presented, which was found to be of suitable validity. Conclusion: Considering the results obtained from the current study, it is possible to create conditions for the realization of superior service delivery in the field of education to enhance the level of public satisfaction.

Purpose: Woman-headed households experience more psychological issues and a lower level of psychological well-being compared to other women. The goal of this research is to investigate the relationship between hardiness and resilience in Woman-headed households, with hope serving as a mediator. Methodology: The present study is a part of descriptive-correlational research utilizing the cross-sectional research method and Structural Equation Modeling (SEM). The statistical population for the study consists of all woman-headed households assisted by the welfare organization in Tehran from July to December 2023. A total of 192 woman-headed households were selected using multi-stage cluster sampling as the statistical sample. Research instruments utilized were the Adult Hope Scale (AHS), Connor-Davidson Resilience Scale (CD-RISC), and Kobasa's Hardiness Scale (KHS). Descriptive statistics were performed using SPSS version 27 software, while path coefficients between constructs were analyzed using Amos version 24 software. The CB-SEM method was employed to develop the structural equation model. A significance level of 0.05 was used in the analysis. Findings: Based on the current research findings, it was found that hardiness positively and significantly impacted the variable of Hope (β=0.801, P=0.001). Similarly, the variable of hardiness also had a positive and significant effect on Resilience (β=0.953, P=0.001). There was no notable effect of the Hope factor on Resilience (P=0.868). The study revealed that hardiness did not indirectly and significantly influence Resilience through Hope (β=0.008 and P=0.864). Conclusion: The findings of the current research indicated that hardiness leads to higher levels of hope and resilience. However, the study found that hope does not have a notable impact on resilience, and as a mediator, it did not show any effectiveness in the research.

Purpose: The purpose of this study was to investigate the policy-making processes for online education at the primary level, focusing on the objectives, content, strategies, resources, and assessment practices. It aimed to identify the challenges and opportunities within these policies to enhance the effectiveness of online education. Methodology: This cross-sectional survey study involved 384 educators, administrators, and policymakers in the primary education sector. Data were collected via a researcher-made questionnaire to gather comprehensive insights into the participants' perceptions of online education policies. The questionnaire was validated through a pilot study, and data analysis was conducted using SPSS and SMART-PLS for quantitative responses and thematic analysis for qualitative responses. Confirmatory factor analysis and Cronbach's alpha coefficients were utilized to assess the reliability and validity of the constructs within the questionnaire. Findings: The findings revealed a general consensus on the importance of clearly defined objectives, engaging content, and effective strategies for the successful implementation of online education policies. Challenges identified include the need for better technology infrastructure, financial resources, and professional development for educators. The analysis also highlighted the significance of affective and psychomotor domains in online education, which are often overlooked in policy making. Participants expressed a desire for more innovative and interactive online learning environments to enhance student engagement and learning outcomes. Conclusion: The study concludes that while there are significant opportunities to enhance the quality and effectiveness of online education through policy improvements, there are also considerable challenges that need to be addressed. These include the integration of affective and psychomotor learning goals, the development of comprehensive support systems for educators, and the improvement of technology and financial infrastructures. Policymakers and educators must work collaboratively to refine online education policies, ensuring they are inclusive, effective, and capable of meeting the diverse needs of primary education students.