Private Schools

Purpose: This paper mainly aimed to provide a model for policy-making in the private school system. Methodology: Based on the literature review, 17 influential factors were identified with the mixed method of survey and theme analysis. In the qualitative part, the semantic pattern was discovered and analyzed with the RQDA qualitative analysis software, and in the quantitative part, the Interpretive Structural Modeling (ISM) method was used to determine relationships. Statistical population in the qualitative part were 20 people (policy-making experts, professors and senior managers) were selected and participated in a semi-structured and quantitative interview. A number of 1140 schools were selected from Northern, Central and Southern Khorasan using a simple random sampling method with proof of validity and reliability. Findings: The results of factors affecting policy-making based on fuzzy numerical average are: Investment 0.72, government aid 0.87, managers 0.74, teachers 0.73, executive agents 0.75, educational equipment 0.81, government-approved laws 0.89, banking system 0.88, tax and insurance 0.73, municipal, housing and urban organizations 0.33, community members 0.65, experts 0.8, Farhangian University training 0.8, coordination council 0.81, specialized founders 0.78, special schools 0.78, supervisory council 0.88, which because municipal organizations, housing and urban development 0.33, and community members 0.65 were lower than the average, they were rejected and the rest were accepted. Strategies in the first level (managers, executives and teachers) are the most effective and the sixth level (government laws) is the most effective. Conclusion: Based on the results, the other 15 factors that have a great impact on policy-making should be considered.

Purpose: The study attempts to understand the information-seeking behavior of school students of Delhi.  Method: It included sources for initiation resources, preferred language, the method used to search information resources, time spent on e- search, etc. The data for the study was collected from nine schools comprising of three government schools and six private schools. The sampling method in the sample selection was closed with the help of the stratified random sampling method. The SPSS (Statistical Package for Social Science-version24) was used to transform and analyze the data with applied statistical techniques such as Mann-Whitney U Test and Chi-Square test for proportions and content analysis.  Findings: Results of the analysis revealed that printed information material is more preferred than electronic information material for both government and private school students. The students use electronic information resources more for recreational purposes than for academic purposes, however, a significant difference in the use of E-resources was observed between government and private school students. Government school students, as well as private school students, were found to prefer and use mobile phones for searching information over other electronic gadgets such as laptops, tablets, etc. however use of Laptops, Kindle and Tablets were found to be significantly higher in private school students in comparison to government school students.  Conclusion: Government school students preferred Hindi as a language for information resources whereas Private school students preferred English language information sources. It was found from the study that the information-seeking behavior of Government and Private school students varied significantly.