Abstract
It can be argued that education is a major existing global force that has the ability to prevent future destruction of life on planet Earth. While both national economic development and life expectancy are components of the Human Development Index, education is a key component of the index.
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References
Benevot, A., & Tanner, E. (2007). The growth of national learning assessments in the world 1995–2006. Paper commissioned for the EFA Global Monitoring Report 2008, UNESCO, Paris.
Bryk, A. S., & Raudenbush, S. W. (1992). Hierarchical linear models; Applications and data analysis methods. Newbury Park, CA: Sage Publications.
Cheung, K. C., Keeves, J. P., Sellin, N., & Tsoi, S. C. (1990). The analysis of multilevel data in educational research: Studies of problems and their solutions. International Journal of Educational Research, 14(3), 217–317.
Coleman, J. (1988). Social capital in the creation of human capital. American Journal of Sociology, 94, 95–120.
Coleman, J. S., Campbell, E. Q., Hobson, C. J., McPartlant, J., Mood, A. M., Weinfall, F. D., & York, R. L. (1966). Equality of educational opportunity. Washington, DC: Department of Health, Education and Welfare.
Hanna, G. (2000). Declining gender differences from FIMS to TIMSS. Zentralblatt für Didaktik der Mathematik [International Reviews on Mathematical Education], 00(1), 11–17.
Husén, T. (Ed.). (1967). International study of achievement in mathematics: A comparison of twelve countries (Vols. 1–2). Stockholm: Almqvist & Wiksell.
Kalmijn, M., & Kraaykamp, G. (1996). Race, cultural capital and schooling: An analysis of trends in the United States. Sociology of Education, 69, 22–34.
Kamens, D. H., & McNeely, C. L. (2009). Globalization and the growth of international educational testing and national assessment. Comparative Education Review, 54(1), 1–21.
Keeves, J. P., Hungi, N., & Darmawan, I. G. N. (2013). Effects of socioeconomic status, class size, and ability grouping in science achievement: A sociological approach. In S. Alagumalai, S. Burley, & J. P. Keeves (Eds.), Excellence in scholarship (pp. 19–42). Rotterdam: Sense Publishers.
OECD. (2010). PISA 2009 results: Overcoming social background – Equity in learning opportunities and outcomes (Vol. II). Paris: OECD Publishing.
OECD. (2014). PISA 2012 results: What students know and can do – Student performance in mathematics, reading and science (Vol. I, Rev. ed.). Paris: OECD Publishing.
Penner, A. M., & Paret, M. (2008). Gender differences in mathematics achievement: Exploring the early grades and the extremes. Social Science Research, 37(1), 239–253.
Postlethwaite, T. N. (2004). Monitoring educational achievement. Paris: IIEP.
Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Thousand Oaks, CA: Sage.
Raudenbush, S. W., Bryk, A. S., Cheong, Y. F., & Congdon, R. T. (2004). HLM 6. Hierarchical linear and nonlinear modeling. Lincolnwood, IL: Scientific Software International.
Raudenbush, S. W., Bryk, A., Cheong, Y. F., & Congdon, R. (2008). HLM: Hierarchical linear and nonlinear modelling (Version: 6.06) [Computer software]. Lincolnwood, IL: Scientific Software International, Inc.
UNDP (United Nations Development Programme). (2014, October). Human development report, 2012 Sustaining human progress: Reducing vulnerabilities and building resilience. Retrieved from www.undp.org/
United Nations. (2013). World population prospects: The 2012 revision, United Nations, Department of Economic and social affair, population division. Retrieved October 3, 2013, from http://esa.un.org/unpd/wpp/unpp/panel_population.htm
Wilkins, J., & Ma, X. (2002). Predicting student growth in mathematical content knowledge. Journal of Educational Research, 95(5), 288–297.
Wilkinson, C. R. (2015). A philosophy for the powerful learning of mathematics (Unpublished PhD thesis). School of Education, Flinders University, Adelaide, South Australia.
Willms, J. D. (1996). Indicators of mathematics achievement in Canadian elementary schools. In HRDC (Ed.), Growing up in Canada: National longitudinal study of children and youth. Human resources development Canada and statistics Canada (pp. 69–82). Ottawa, Ontario: Human Resources Development Canada and Statistics Canada.
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Darmawan, I.G.N. (2016). Assessing the Quality and Equity of Student Performance in Five Southeast Asian Countries. In: Thien, L.M., Razak, N.A., Keeves, J.P., Darmawan, I.G.N. (eds) What Can PISA 2012 Data Tell Us?. SensePublishers, Rotterdam. https://doi.org/10.1007/978-94-6300-468-8_9
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DOI: https://doi.org/10.1007/978-94-6300-468-8_9
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