درخت حوزه‌های تخصصی

Purpose: the aim of the current study was to Designing Structural Equation Modeling of Organizational Citizenship Behavior Which Influences on Success of Kanoon Qlmchy as a famous Educational Institutions Method: The method of the current research descriptive and case study: Statistical population consists of all the employees of Qlmchy Kanoon of Zahedan, Tehran and Mashhad which consists of 353 persons who were selected through simple random sampling. Researchers made questionnaire was employed for data collection. Finding: The result showed that "organizational citizenship behavior on Kanoon Qlmchy Success has been significant through Mediator variables including "Leadership with vision" and "tactics coordination of activities and it has a relatively strong relationship. It was confirmed that the five dimensions of organizational citizenship behavior, including altruism, work ethic, Attention and respect, fairness and citizenship behavior has an impact on Kanoon Qlmchy Success. All variables have relatively high correlation. Discussion. Acceptable responsive and well-designed Organizational Citizenship Behavior lead to high success in Educational Institutions.

Purpose: School revitalization plays an important role in students' academic performance. Therefore, the purpose of the present research was to present an integrated curriculum model in order to revitalize elementary schools. Methodology: The present study was applied in terms of purpose and descriptive survey in terms of methodology. The research population included the professors, experts of the Education Department of Tehran province, and the sample size was determined 289 people using the Cochran formula. Participants were selected using stratified random sampling method according to their job position. The data collection tool included a researcher-made questionnaire of an integrated curriculum aimed at revitalizing elementary schools, whose content validity was confirmed by the opinion of experts and its reliability was obtained 0.83using Cronbach's alpha method. Data analysis was carried out using exploratory factor analysis and structural equation modeling methods in SPSS and AMOS software. Findings: The results showed that the integrated curriculum model for revitalizing elementary schools consisted of 68 design items, i.e. goal (8 items) content (9 items), content organization (5 items), characteristics of learning activities (5 items), learning activity strategy (5 items), and evaluation (8 items), of which only the factor loading of 40 items was higher than 0.40. Also, the integrated curriculum model for revitalizing elementary schools had a good fit and the integrated curriculum for revitalizing elementary schools had a significant effect on all six components of goal, content, content organization, characteristics of learning activities, strategies of learning activities and evaluation (P<0.05). Conclusion: According to the results of this research, an effective step can be taken to revitalize elementary schools through the items of each of the six components of the integrated curriculum, including the goal, content, content organization, characteristics of learning activities, strategies of learning activities and evaluation.

Big-tech corporations like Google, Meta, Microsoft etc. extensively utilize customization to collect and analyze user data, a practice integral to their business models. Google leverages user data to personalize services across its platforms, notably in its search engine and YouTube, to enhance user experience and bolster its targeted advertising strategies. Similarly, Meta uses algorithmic content curation on Facebook and Instagram, tailoring user feeds to individual preferences and behaviors, thereby generating detailed user profiles for marketing purposes. Microsoft's approach, particularly with Office 365 and LinkedIn, focuses on productivity enhancements while also gathering user data for feature refinement and targeted advertising. These practices, I argue, while improving user engagement, raise significant privacy concerns. The extensive data collection often occurs without full transparency or user consent, leading to debates about ethical implications, digital surveillance, and societal impacts. In response, there is a growing demand for stricter data governance and privacy regulations, as seen in initiatives like the GDPR and CCPA, aiming to balance the benefits of personalization with the rights and privacy of users.