Analysis of Factors Influencing Attractive Schools: A Case Study of Al-Sana and Al-Watan Schools (A Community Study)
DOI:
https://doi.org/10.52839/0111-000-091-014Keywords:
Attractive schools, Community study, Private schoolsAbstract
This research aims to examine the educational, organizational, and service-related variables that affect the attractiveness of private schools, using Al-Sana and Al-Watan schools as case studies to represent different levels of attractiveness among them. This research adopted a descriptive-analytical approach. A five-point Likert scale was used to develop the research instrument (questionnaire) on the basis of educational literature and past research. The questionnaire consisted of 20 items divided into four domains. The quantitative and qualitative approaches were applied to obtain a holistic view of the phenomenon as seen by students, parents, teachers, and administrators and to compare it to less appealing schools in the same geographical setting. A questionnaire was utilized to collect data based on four domains, namely overall satisfaction, quality of education, institutional services, and attractiveness factors. A sample of 523 questionnaires was sent, with 325 valid questionnaires returned and used for statistical analysis, divided into 161 males and 151 females in a purposive sample of 325 individuals, using both paper-based and electronic questionnaires. Semi-structured interviews were also considered to supplement the quantitative data. The 312 questionnaires were used in the analysis concerning the gender variable, as some returned questionnaires had incomplete data regarding this variable. Subsequently, data points that were incomplete on this variable were omitted only in this analysis. They were included in other statistical analyses where gender classification was unnecessary to retain as much data as possible and achieve high accuracy and validity in the results. The research was applied at Al-Sana School and Al-Watan School, which are affiliated with the General Directorate of Education of Baghdad Al-Karkh II, in Baghdad Province. The findings showed significant statistical associations between the independent variables (satisfaction, quality of education, and services) and the dependent variable (institutional attractiveness). Regression analysis revealed that the most influential factors in the choice of schools were the quality of services and overall satisfaction. The qualitative analysis also revealed that school image, geographical location, and effective management are crucial to increasing school attractiveness. According to the research, schools that promote the high quality of the learning process, offer effective services, and have organizational policies that are clear and understandable are better able to attract and keep students. It suggested the introduction of participatory management models, the enhancement of communication with parents, and the creation of marketing strategies that can increase the identity of schools and their effectiveness.
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المراجع العربية
[1] أبو زينة، ف. (2017). اتجاهات أولياء الأمور نحو اختيار المدارس الخاصة لأبنائهم في محافظة الزرقاء. المجلة الأردنية في العلوم التربوية، 13(4)، 453–468.
[2] الباحوث، ع. س. (2018). دور جودة الخدمة التعليمية في تعزيز رضا الطلبة بمدارس التعليم العام في السعودية. مجلة العلوم التربوية والنفسية، 19(2)، 121–140.
[3] الجهني، ن. ع. (2020). أثر جودة البيئة المدرسية في جذب الطلبة للمدارس الأهلية: دراسة حالة في المدينة المنورة. مجلة الجامعة الإسلامية للدراسات التربوية والنفسية، 28(3)، 75–102.
[4] الحربي، م. ر. (2022). العوامل المؤثرة في قرار أولياء الأمور باختيار المدارس الأهلية لأبنائهم في مدينة الرياض. مجلة التربية، 180(4)، 97–126.
[5] الراوي، ل. م. (2019). الرضا عن الخدمات التعليمية كمدخل لتحسين استبقاء الطلبة في المدارس الأهلية في العراق. مجلة كلية التربية الأساسية، 25(106)، 345–368.
[6] زهران، أ. م. (2021). تقييم جودة التعليم في المدارس الخاصة من وجهة نظر أولياء الأمور في محافظة القاهرة. مجلة التربية، جامعة عين شمس، 45(5)، 211–235.
[7] سعيد، ه. أ. (2018). تأثير المناخ المدرسي في مستوى رضا الطلبة في المرحلة الثانوية. المجلة التربوية، جامعة الكويت، 32(128)، 145–166.
[8] عبد الله، ن. ب. (2023). تحليل قرارات أولياء الأمور في اختيار المدارس: منظور اجتماعي واقتصادي. المجلة العراقية للعلوم التربوية، 14(1)، 85–101.
[9] علي، س. ج. (2020). مدى توافر عناصر الجودة التعليمية في المدارس الأهلية وأثرها في رضا المستفيدين. مجلة دراسات تربوية ونفسية، 33(2)، 233–254.
[10] كاظم، ر. ش. (2022). العوامل النفسية والاجتماعية المؤثرة في اختيار المدارس الثانوية من وجهة نظر الطلبة. مجلة واسط للعلوم الإنسانية، 46(1)، 189–210.
المراجع الاجنبية
[1] Bosetti, L. (2004). Determinants of school choice: Understanding how parents choose elementary schools in Alberta. Journal of Education Policy, 19(4), 387–405. https://doi.org/10.1080/0268093042000227470
[2] Bryman, A. (2016). Social research methods (5th ed.). Oxford University Press.
[3] Cohen, L., Manion, L., & Morrison, K. (2018). Research methods in education (8th ed.). Routledge. https://doi.org/10.4324/9781315456539
[4] Creswell, J. W. (2014). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (4th ed.). Pearson.
[5] Creswell, J. W., & Plano Clark, V. L. (2017). Designing and conducting mixed methods research (3rd ed.). SAGE Publications.
[6] Darling-Hammond, L., Flook, L., Cook-Harvey, C., Barron, B., & Osher, D. (2020). Implications for educational practice of the science of learning and development. Applied Developmental Science, 24(2), 97–140. https://doi.org/10.1080/10888691.2018.1537791
[7] Fetters, M. D., Curry, L. A., & Creswell, J. W. (2013). Achieving integration in mixed methods designs—Principles and practices. Health Services Research, 48(6pt2), 2134–2156. https://doi.org/10.1111/1475-6773.12117
[8] Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). SAGE Publications.
[9] Forid, M. S., Hafez, M., & Khan, W. (2022). Student satisfaction and retention: Impact of service quality and digital transformation. Marketing and Management of Innovations, 4, 152–163. https://doi.org/10.21272/mmi.2022.4-13
[10] Gunarto, M., & Hurriyati, R. (2020). Creating experience value to build student satisfaction in higher education. arXiv preprint. https://arxiv.org/abs/2006.09846
[11] Johnson, B., & Christensen, L. (2019). Educational research: Quantitative, qualitative, and mixed approaches (7th ed.). SAGE Publications.
[12] Joshi, A., Kale, S., Chandel, S., & Pal, D. K. (2015). Likert scale: Explored and explained. British Journal of Applied Science & Technology, 7(4), 396–403. https://doi.org/10.9734/BJAST/2015/14975
[13] Khalid, A. (2017). Assessment consistency in language performance tasks: Inter-rater reliability in focus. Journal of Language Assessment and Evaluation, 9(2), 34–48.
[14] Kleinberg, J., Oren, S., Ryu, E., & Tardos, É. (2024). Modeling reputation-based behavioral biases in school choice. arXiv preprint. https://arxiv.org/abs/2403.04616
[15] Knifsend, C. A., & Graham, S. (2012). Too much of a good thing? How breadth of extracurricular participation relates to school belonging and academic outcomes. Journal of Youth and Adolescence, 41(3), 379–389. https://doi.org/10.1007/s10964-011-9737-4
[16] Loukas, A. (2025). What is school climate? National Association of Elementary School Principals (NAESP).
[17] Mandagi, D. W., Sahureka, F., & Hendrik, J. (2023). Determining factors for parents to choose a school: Empirical analysis of religious-based private schools. Qalamuna: Jurnal Pendidikan, Sosial, dan Agama, 15(1), 573–584. https://doi.org/10.37680/qalamuna.v15i1.2720
[18] OECD. (2019). Balancing school choice and equity: An international perspective based on PISA. OECD Publishing. https://doi.org/10.1787/2592c974-en
[19] Schreiner, L. A. (2009). Linking student satisfaction and retention. NACADA Journal, 29(1), 44–52. https://doi.org/10.12930/0271-9517-29.1.44
[20] Stevens, J. P. (2007). Applied multivariate statistics for the social sciences (5th ed.). Lawrence Erlbaum Associates.
[21] Sultana, I. B., & Nasrinq, A. N. (2021). Quality of services and student satisfaction: Evidence from higher education in Bangladesh. International Journal of Educational Management, 35(6), 1109–1123. https://doi.org/10.1108/IJEM-11-2020-0513
[22] Taber, K. S. (2018). The use of Cronbach’s Alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273–1296. https://doi.org/10.1007/s11165-016-9602-2
[23] Taber, K. S. (2021). The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 51(1), 1–24. https://doi.org/10.1007/s11165-019-09894-4
[24] Taherdoost, H. (2022). Importance of research design in scientific study. International Journal of Advancement in Engineering Technology, Management and Applied Science, 9(1), 1–10.
[25] Taherdoost, H. (2022). Data collection methods and tools for research; A step-by-step guide to choose data collection technique for academic and business research projects. SSRN. https://doi.org/10.2139/ssrn.4412966
[26] Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). SAGE Publications.
[27] Zhang, Y., & Sun, J. (2020). An analysis of student satisfaction and influencing factors in school education. International Journal of Educational Development, 76, 102217. https://doi.org/10.1016/j.ijedudev.2020.102217
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