Skip to main content

Assessing the Quality and Equity of Student Performance in Five Southeast Asian Countries

  • Chapter
What Can PISA 2012 Data Tell Us?

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

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.

    Google Scholar 

  • Bryk, A. S., & Raudenbush, S. W. (1992). Hierarchical linear models; Applications and data analysis methods. Newbury Park, CA: Sage Publications.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • Coleman, J. (1988). Social capital in the creation of human capital. American Journal of Sociology, 94, 95–120.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • Hanna, G. (2000). Declining gender differences from FIMS to TIMSS. Zentralblatt für Didaktik der Mathematik [International Reviews on Mathematical Education], 00(1), 11–17.

    Article  Google Scholar 

  • Husén, T. (Ed.). (1967). International study of achievement in mathematics: A comparison of twelve countries (Vols. 1–2). Stockholm: Almqvist & Wiksell.

    Google Scholar 

  • Kalmijn, M., & Kraaykamp, G. (1996). Race, cultural capital and schooling: An analysis of trends in the United States. Sociology of Education, 69, 22–34.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Chapter  Google Scholar 

  • OECD. (2010). PISA 2009 results: Overcoming social background – Equity in learning opportunities and outcomes (Vol. II). Paris: OECD Publishing.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • Postlethwaite, T. N. (2004). Monitoring educational achievement. Paris: IIEP.

    Google Scholar 

  • Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Thousand Oaks, CA: Sage.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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

    Google Scholar 

  • Wilkins, J., & Ma, X. (2002). Predicting student growth in mathematical content knowledge. Journal of Educational Research, 95(5), 288–297.

    Article  Google Scholar 

  • Wilkinson, C. R. (2015). A philosophy for the powerful learning of mathematics (Unpublished PhD thesis). School of Education, Flinders University, Adelaide, South Australia.

    Google Scholar 

  • 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.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Sense Publishers

About this chapter

Cite this chapter

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

Download citation

  • DOI: https://doi.org/10.1007/978-94-6300-468-8_9

  • Publisher Name: SensePublishers, Rotterdam

  • Online ISBN: 978-94-6300-468-8

  • eBook Packages: EducationEducation (R0)

Publish with us

Policies and ethics