Evaluation of the dimensions of the Mawhiba-IAU summer enrichment program

References

• Alamer, S. M., & Phillipson, S. N. (2021). Current status and future prospects of Saudi gifted education: A macro-systemic perspective. High Ability Studies, 33(1), 21–44. https://doi.org/10.1080/13598139.2020.1840966
   Web of Science ®Google Scholar
• Alfaiz, F. S., Alfaid, A. A., & Aljughaiman, A. M. (2022). Current status of gifted education in Saudi Arabia. Cogent Education, 9(1), 1–31. https://doi.org/10.1080/2331186X.2022.2064585
   Web of Science ®Google Scholar
• Alharbi, K., & Dimitrov, D. (2015). Relationships between multiple cognitive abilities and creativity of students across grade levels in Saudi Arabia. National Center Assessment in Higher Education. Technical Report # 12 for Project # 200800403.
   Google Scholar
• Almus, K., & Dogan, B. (2016). A study of summer school enrichment program in high-poverty urban public charter school. Reading Improvement, 53(1), 1–16.
   Google Scholar
• Alqarni, H. (2018). Students dropped out from gifted schools: A case study of Al Faisaliah school for boys and the 128th school for girls. Journal of Scientific Research in Education, 19(12), 359–411.
   Google Scholar
• Alroajvh, S. (2016). The problems facing gifted programs in public education in Makkah region from the point of view of teachers and supervisors. Global Institute for Study & Research Journal, 2(2), 35–50.
   Google Scholar
• Alshahri, T. (2014). Factors of dropout of gifted students from enrichment programs [ Unpublished master’s thesis]. College of Education, Al-Baha University.
   Google Scholar
• American Association of Colleges of Teacher Education. (2010). 21st century knowledge and skills in educator preparation. https://files.eric.ed.gov/fulltext/ED519336.pdf
   Google Scholar
• Ayoub, A. E. A., & Aljughaiman, A. M. (2016). A predictive structural model for gifted students’ performance: A study based on intelligence and its implicit theories. Learning and Individual Differences, 51, 11–18. https://doi.org/10.1016/j.lindif.2016.08.018
   Web of Science ®Google Scholar
• Carey, K., Cambiano, R. L., & De Vore, J. B. (2002, July). Student to faculty satisfaction at a Midwestern university in the United States. In The 25th HERSDA annual conference, Perth, Western Australia.
   Google Scholar
• Cooke, D. J., & Michie, C. (2001). Refining the construct of psychopathy: Towards a hierarchical model. Psychological Assessment, 13(2), 171–188. https://doi.org/10.1037/1040-3590.13.2.171
   PubMed Web of Science ®Google Scholar
• Creswell, W. J. (2014). Research design, qualitative, quantitative and mixed methods approaches. SAGE.
   Google Scholar
• Curry, E., Hildebrand, S., Kunkei, M., Pittman, A., & Walling, D. (1991). Attrition patterns in a high ability programme for precollege students. International Journal of Mathematical Education in Science and Technology, 22(6), 997–1001. https://doi.org/10.1080/0020739910220618
   Google Scholar
• Davis, G. A., Rimm, S. B., & Siegle, D. B. (2013). Education of the gifted and talented (6th ed.). Pearson Higher Ed.
   Google Scholar
• Dimitrov, D., & Alharbi, K. (2014). Latent class analysis of large scale data from the multiple cognitive abilities assessment in Saudi Arabia. National Center Assessment in Higher Education. Technical Report # 11 for Project # 200800403.
   Google Scholar
• Distefano, C., Zhu, M., & Mindrila, D. (2009). Understanding and using factor scores: Considerations for the applied researcher. Practical Assessment, Research & Evaluation, 14(20), 1–11. http://pareonline.net/getvn.asp?v=14&n=20
   Google Scholar
• Douglas, J., Douglas, A., & Barnes, B. (2006). Measuring student satisfaction at a UK university. Quality Assurance in Education, 14(3), 251–267. https://doi.org/10.1108/09684880610678568
   Google Scholar
• EFQM. (2021, March 21). The EFQM model. https://www.efqm.org/efqm-model
   Google Scholar
• Elliott, K. M., & Healy, M. A. (2001). Key factors influencing student satisfaction related to recruitment and retention. Journal of Marketing for Higher Education, 10(4), 1–11. https://doi.org/10.1300/J050v10n04_01
   Google Scholar
• Elliott, K. M., & Shin, D. (2002). Student satisfaction: An alternative approach to assessing this important concept. Journal of Higher Education Policy & Management, 24(2), 197–209. https://doi.org/10.1080/1360080022000013518
   Google Scholar
• Flatt, C., & Jacobs, R. L. (2019). Principle assumptions of regression analysis: Testing, techniques, and statistical reporting of imperfect data sets. Advances in Developing Human Resources, 21(4), 484–502. https://doi.org/10.1177/1523422319869915
   Web of Science ®Google Scholar
• Grossman, R. P. (1999). Relational versus discrete exchanges: The role of trust and commitment in determining customer satisfaction. Journal of Marketing Management, 9(2), 47–58.
   Google Scholar
• Hair, J. F., Jr., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th ed.). Pearson Prentice Hall.
   Google Scholar
• Harrow International School. (n.d.). What common challenges to children encounter when boarding for the first time? https://www.harrowschool.hk/what-common-challenges-to-children-encounter-when-boarding-for-the-first-time/
   Google Scholar
• Hartman, D. E., & Schmidt, S. L. (1995). Understanding student/alumni satisfaction from a consumer’s perspective: The effects of institutional performance and program outcomes. Research in Higher Education, 36(2), 197–217. https://doi.org/10.1007/BF02207788
   Web of Science ®Google Scholar
• Hitchcock, J., & Johanson, G. (2012). Validating the MAWHIBAH student selection model: An overview of design strategies. Part of the mawhibah student selection project for King Abdulaziz and his Companions Foundation for Giftedness and creativity. National Center Assessment. in Higher Education Report #11 for Project # 200800403.
   Google Scholar
• Jani, D., & Han, H. (2011). Investigating the key factors affecting behavioral intentions: Evidence from a full-service restaurant setting. International Journal of Contemporary Hospitality Management, 23(7), 1000–1018. https://doi.org/10.1108/09596111111167579
   Web of Science ®Google Scholar
• King Abdulaziz and his Companions Foundation for Giftedness and creativity [Mawhiba]. (2018). Number of participants in summer enrichment programs in 2018 – Internal Report.
   Google Scholar
• King Abdulaziz and his Companions Foundation for Giftedness and Creativity [Mawhiba]. (n.d.). The National Program for Gifted Identification - MMCAT Test. https://www.mawhiba.org/en/Initiatives/Identification/Pages/Tests.aspx
   Google Scholar
• Kirkpatrick, D. (1996). Revisiting Kirkpatrick’s four-level model. Training & Development, 50(1), 54–57. https://eric.ed.gov/?id=EJ515660
   Google Scholar
• Kunkel, M. A., & Pittman, A. M. (1991). Attrition patterns in a summer program for gifted junior high students. Roeper Review, 14(2), 90. https://doi.org/10.1080/02783199109553395
   Google Scholar
• Maslow, A. H. (1943). A theory of human motivation. Psychological Review, 50(4), 370–396. https://doi.org/10.1037/h0054346
   Web of Science ®Google Scholar
• Maslow, A. H. (1954). Motivation and personality. Harper & Row, Publishers.
   Google Scholar
• McCombs, J. S., Augustine, C. H., & Schwartz, H. L. (2011). Making summer count: How summer programs can boost children’s learning. RAND Corporation.
   Google Scholar
• McLaughlin, B., & Pitcock, S. (2009). Building quality in summer learning programs: Approaches and recommendations. Wallace Foundation.
   Google Scholar
• Monke, A. (2015 November). The impact of camp experiences on social skills and happiness. American Camp Association. https://www.acacamps.org/resource-library/camping-magazine/impact-camp-experiences-social-skills-happiness
   Google Scholar
• Mukhtar, U., Anwar, S., Ahmed, U., & Baloch, M. A. (2015). Factors effecting the service quality of public and private sector universities comparatively: An empirical investigation. Researchers World, 6(3), 132.
   Google Scholar
• National Association for Gifted Children. (2019). Pre-K to grade 12 gifted programming standards. https://www.nagc.org/resources-publications/resources/national-standards-gifted-and-talented-education/pre-k-grade-12
   Google Scholar
• National Center for Assessment. (2018). A brief report on the Mawhiba model for gifted identification: Construction and evidence.
   Google Scholar
• Navarro, M. M., Iglesias, M. P., & Torres, P. R. (2005). A new management element for universities; satisfaction with the offered courses. International Journal of Educational Management, 19(6), 505–526. https://doi.org/10.1108/09513540510617454
   Google Scholar
• Palacio, A. B., Meneses, G. D., & Pérez, P. J. P. (2002). The configuration of the university image and its relationship with the satisfaction of students. Journal of Educational Administration, 40(5), 486–505. https://doi.org/10.1108/09578230210440311
   Google Scholar
• PwC. (2021, January 25). Upskilling the global workforce is key to stimulating the economic recovery from COVID-19. https://www.pwc.com/gx/en/news-room/press-releases/2021/upskilling-for-shared-prosperity.html
   Google Scholar
• Terwilliger, J. S., & Titus, J. C. (1995). Gender differences in attitudes and attitude changes among mathematically talented youth. Gifted Child Quarterly, 39(1), 29–35. https://doi.org/10.1177/001698629503900105
   Web of Science ®Google Scholar
• VanTassel-Baska, J., Landau, M., & Olszewski, P. (1984). The benefits of summer programming for gifted adolescents. Journal for the Education of the Gifted, 8(1), 73–82. https://doi.org/10.1177/016235328400800107
   Google Scholar
• Walsh, C. (2019, November). Top 10 benefits of academic summer programs. Model United Nations Institute. https://mun.bestdelegate.com/2019/11/01/top-10-benefits-of-academic-summer-camps/
   Google Scholar
• Webber State University. (2001, June 26). Noel Levitz student satisfaction inventory. https://www.weber.edu/IR/Noel_Levitz_Info_Page.html
   Google Scholar
• Weerasinghe, I. S., Lalitha, R., & Fernando, S. (2017). Students’ satisfaction in higher education. American Journal of Educational Research, 5(5), 533–539. https://doi.org/10.12691/education-5-5-9
   Google Scholar
• Wexler, N. (2013, July 30). DCPS Summer School Enrollment is Up, but Attrition is High. https://ggwash.org/view/31929/dcps-summer-school-enrollment-is-up-but-attrition-is-high
   Google Scholar
• Wilkins, S., & Balakrishnan, M. S. (2013). Assessing student satisfaction in transnational higher education. International Journal of Educational Management, 27(2), 143–156. https://doi.org/10.1108/09513541311297568
   Google Scholar
• World Economic Forum. (2021, January 25). Investment in upskilling could boost global GDP by $6.5 trillion by 2030. https://www.weforum.org/press/2021/01/investment-in-upskilling-could-boost-global-gdp-by-6-5-trillion-by-2030
   Google Scholar