درخت حوزه‌های تخصصی

Purpose: the present study aimed to design and validate decentering schemes for decision making about curriculum based on Schwab’s practical theory and features of the educational system in Iran. Methodology: in the first step, qualitative methods of "Speculative Essay", "Evaluative Inquiry: Situational Assessment", and "Integrative Inquiry: The Research Synthesis" were employed to explain decentering curriculum according to Schwab's theory, to evaluate and analyze the characteristics of the curriculum system in Iran with regard to the decision-making structure, and to codify the first options of decentering the curriculum, respectively. To evaluate the quality of the primary scheme and codify the final one, the qualitative research approach and interviews were employed. Findings: the findings of this study show that decentering decision making about the elements of curriculum in Iran’s curriculum development system includes seven schema as follows: (a) uniform (one type); (b) multiform (four types); (c) formless (ten types); (d) a combination of uniform and multiform (four types); (e) a combination of uniform and formless (ten types); (f) a combination of multiform and formless (forty types), and (g) a combination of uniform, multiform, and formless (forty types). Conclusion: in the designed scheme, several decision-making positions for curriculum are introduced according to various area features of the country to enable all areas to make optimal choices with regard to their capacity.

Purpose: It is more than 30 years that Afghan people immigrate to Iran. This paper aims to find out the educational challenges Afghan High School students face in Iranian schools based on English teachers’ perspectives in Tehran province. Methodology: This research is qualitative and its kind is deductive. Based on the theoretical foundations of migration, relevant studies, especially the research of Sadegh Mousavi et al. (2019), Shishehgran and Haji Dehabadi (2018), and Songhori et al (2014) components of educational challenges were compiled. Guba and Lincoln indices (1994, quoted by Mohsenpour, 2013) were used to validate the components. The tool of this study is a Semi-structured interview based on the accredited components. Data analysis has been done by the use of Braun and Clarke’s thematic method (2006). The number of English teachers who have taught Afghan students for more than four years in public schools and participated in this study was about 32 (17 female and 15 male). Findings: The findings show that parents of these students rarely come to school to ask about the educational progress of their students, Afghan students adapt to the content of Iranian textbooks and the curriculum as the result of having a close relationship with Iranian culture, some students work after school to help their family financially. Regarding citizenship, Afghan students consider themselves differently as first-class Iranian citizens, second-class citizens, and some do not care about the issue of citizenship in Iran because they consider life in Iran to be temporary and intend to immigrate to European countries. Among the female students, no delinquency or victimization was observed by the English teachers, but the male teachers had heard of a few cases such as buying and selling drugs and consuming them. Considering that Afghan students are interested in learning English and its skills, it is necessary to take advantage of the presence of English teachers in reducing the educational challenges of students. Conclusion: This can be achieved by holding compensatory classes by these teachers themselves. This leads to more social communication between students and their English language teachers and to a large extent causes a kind of social control in preventing the occurrence of delinquency and delinquency. It is also suggested that the English language curriculum should pay attention to multiculturalism and anti-racism, and the necessary programs to familiarize school administrators, parents of students, teachers, and Iranian students, as well as parents of Afghan students and the students themselves should be provided.

Purpose: Organizational transparency plays an important role in improving the performance of various organizations, especially service organizations. Therefore, the purpose of this study was to determine the relationship between e-governance foresight and the organizational transparency of managers in order to present a model. Methodology: This research was applied in terms of purpose and mixed (qualitative and quantitative) in terms of implementation method. The qualitative part of the community was experts related to the field of research, 12 people were selected as a sample according to the principle of theoretical saturation with non-random sampling and snowball methods. In 2017, there were 7170 people in the quantitative sector of managers of export banks in Tehran province, of which 365 people were selected as a sample according to the table of Karjesi and Morgan by simple random sampling. The research tool was semi-structured interview in the qualitative part and researcher-made questionnaires in the quantitative part, whose psychometric indicators were confirmed. Qualitative part data were analyzed with open, axial and selective coding method in MAXQDA software and quantitative part data were analyzed with exploratory factor analysis and structural equation modeling methods in SPSS and Smart PLS software. Findings: The findings of the qualitative section showed that the e-governance foresight has 75 indicators and 17 components in 6 dimensions: organizational, technical, information and data, marketing, resources and perspective and organizational transparency, 60 indicators and 15 components in 6 dimensions: information transparency, economic transparency, transparency The client had management transparency, organizational transparency and human resources transparency. Also, the findings of the quantitative section showed that the factor load and average variance extracted of all dimensions and components were higher than 0.70 and 0.50, respectively, and their reliability was calculated higher than 0.60 with Cronbach's alpha and combined methods. In addition, the relationship model of e-governance foresight with managers' organizational transparency had a good fit, and e-governance foresight and all its 6 dimensions including organizational, technical, information and data, marketing, resources and perspective had a positive and meaningful effect on managers' organizational transparency (05 /0P<). Conclusion: According to the results of this study, e-governance foresight had a positive effect on the organizational transparency of managers. Therefore, to improve organizational transparency, it is possible to improve the foresight of e-governance and its components including organizational, technical, information and data, marketing, resources and perspective.

Purpose: Considering the role and importance of establishing knowledge management in various organizations, the purpose of this research was to provide a model of factors affecting the establishment of knowledge management in the sailing federation. Methodology: This study was of applied method in terms of purpose and quantitative in terms of execution. The study community was the employees of the Iran Rowing Federation in 1401, 20 of whom were selected as a sample using targeted and snowball sampling methods having conditions to enter the study. The samples responded to the researcher-made questionnaire of the factors affecting the establishment of knowledge management in the sailing federation (44 items) and its validity and reliability were evaluated appropriately. Data were analyzed with exploratory factor analysis and structural equation modeling methods in SPSS and Smart PLS software. Findings: The findings showed that the factors affecting the establishment of knowledge management in the sailing federation have 14 factors of understanding and insight in employees, expertise of employees, committed managers, participation of employees, motivation of human resources, expertise in knowledge management processes, strategic processes, rules and internal processes, functional processes, innovative processes, technological capabilities, technological infrastructures, technological communication and recognition of knowledge management technologies. Also, the factor load of all factors was higher than 0.50, the convergent validity of all factors with the average variance extracted method was higher than 0.40, and the reliability of all factors with the combined method was higher than 0.70. In addition, the model of factors affecting the establishment of knowledge management in the sailing federation had a good fit, and the effect of all paths was evaluated as appropriate. Conclusion: According to the results of this study, an effective step can be taken to improve the establishment of knowledge management in the sailing federation through the identified factors.

Purpose: Electronic Tourism is one of the important components of expanding Tourism by synchronizing this industry with information technology. It has not been long since its emergence. Methodology: this field is a combination of tourism and information technology that is one of the most common types of income-generating businesses which is producing job opportunities in the modern world. The advancement of science alongside communication and information technologies presented many opportunities and threats to this field due to tech such as smartphones and sensors, virtual and augmented reality tools, NFC, RFID, etc. Findings: The disclosure of the tourists' information and the possible abuse of it is one such threat. Therefore privacy and non-disclosure of information should be important factors. Recognition of reputable sites is an important factor in solving this problem. In this study, we have presented a model for recognizing fake and phishing sites which use the CFS+PSO and a combination of Info+Ranger alongside their results to reduce the test dataset features so that it could present a model for categorizing and higher accuracy in recognizing phishing sites by using the Multilayer Perceptron method. The proposed model was successful in recognizing 95.5% of phishing sites. Counclusion: The effect of information technology on the tourism industry and the usage of internet websites for selling and providing tourism services to tourists have created new security challenges. Protecting the privacy and personal information of people and tourists is one of these challenges and the disclosure of such information could lead to abuse by unqualified people and dissatisfaction and distrust of such systems.

Purpose: The purpose of this research is to design and evaluate the effectiveness of the social responsibility model of companies active in the capital market affected by the epidemic of the Covid-19 disease. Methodology: The current research is a mixed research (qualitative-quantitative) and is practical in terms of purpose. In the qualitative part, nineteen members of the expert panel were determined using the snowball method. At the same time, G_Power software was used to determine the size of the statistical sample in the quantitative section, which determined it to be 120 cases. In order to analyze the data to reach the research objectives, Delphi technique was used in the qualitative part. Also, in the quantitative section, structural equation modeling using SmartPLS software was used to measure the efficiency of the model. In the qualitative section, after reviewing the research literature, 19 primary indicators were identified in the form of three main components, and the opinions of the expert panel members were used to measure their effectiveness using the Delphi technique. Finally, after two rounds, this technique reached the saturation stage. Findings: In the quantitative part, using the PLS technique, it was found that all three main components have a positive and significant effect on social responsibility, and at the same time, in terms of the severity of the order of the factors, it is internal factors, macro factors and company characteristics. Conclusion:The results of this section show the removal of three indicators from the primary indicators and at the same time the addition of four secondary indicators, which led to the identification of three final components and twenty sub-components.