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Journal

2010 | 43 | 3 | 90-101

Article title

A System Dynamics Model for Improving Primary Education Enrollment in a Developing Country

Title variants

Languages of publication

EN

Abstracts

EN
The system dynamics approach is a holistic way of solving problems in real-time scenarios. This is a powerful methodology and computer simulation modeling technique for framing, analyzing, and discussing complex issues and problems. System dynamics modeling is often the background of a systemic thinking approach and has become a management and organizational development paradigm. This paper proposes a system dynamics approach for studying the importance of infrastructure facilities on the quality of primary education system in a developing nation. The model is built using the Cross Impact Analysis (CIA) method of relating entities and attributes relevant to the primary education system in any given community. The CIA model enables us to predict the effects of infrastructural facilities on the community's access of primary education. This may support policy makers to take more effective actions in campaigns that attempt to improve literacy.

Publisher

Journal

Year

Volume

43

Issue

3

Pages

90-101

Physical description

Dates

published
2010-05-01
online
2010-06-09

Contributors

author
  • Dept. of Systems Engineering, Yeditepe University, Kayisdagi, 34755 Istanbul, Turkey
author
  • Indian Institute of Technology Madras, Chennai, India
  • Institute of Applied Mathematics, Middle East Technical University, 06531 Ankara, Turkey
author
  • Department of Informatics, Universität der Bundeswehr, München, Werner-Heisenberg-Weg 39, 85577 Neubiberg, Germany

References

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  • Altamirano, M. A. & van Daalen, C. E. (2004). A system dynamics model of primary and secondary education in Nicaragua. 22nd International conference of the system dynamics society, July 25-29, 2004, Oxford, England.
  • Akar, H. (2008). Poverty, and Schooling in Turkey: a Needs Assessment Study, Presentation at Workshop on Complex Societal Problems, Sustainable Living and Development, May 13-16, 2008, IAM, METU, Ankara.
  • Bruns, B., Mingat, A. & Ramahatra, R. (2003). Achieving universal primary education by 2015, a chance for every child. The World Bank, Washington Dc., USA.
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  • Hanushek, E. A., Lavy, V. & Kohtaro, H. (2008). Do Students Care about School Quality? Determinants of Dropout Behavior in Developing Countries. Journal of Human Capital, 2(1), 69-105, DOI: 10.1086/529446.[Crossref]
  • Hayashi, A., Tokimatsu, K., Yamamoto, H., & Mori, S. (2006). Narrative scenario development based on cross-impact analysis for the evaluation of global-warming mitigation options. Applied Energy, 83:10, 1062-1075, DOI:10.1016/J. APENERGY. 2005.11.002.
  • Kane, J. (2002). A Primer for a New Cross-Impact Language - KSIM. In: The Delphi Method: Techniques and Applications, Harold, A. L., and Murray, T. (eds.), Addison-Wesley.
  • Karadeli, N., Kaya, O. & Keskin, B. B. (2001). Dynamic modeling of basic education in Turkey. Senior graduation project, Bogazici University, Turkey.
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  • Mohapatra, P. K. J., Mandal, P., & Bora, M. C. (1994). Introduction to system dynamics modeling, Universities Press (India) Limited, India.
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  • Pedamallu, C. S. (2001). Externally aided construction of school rooms for primary classes- preparation of project report. Master's Dissertation, Indian Institute of Technology Madras, 2001.
  • Rena, R. (2007). Factors affecting the enrollment and the retention of students at primary education. Essays in Education, 22. Available from: http://www.usca.edu/essays/vol22fall2008.html
  • Serge, T. (2009). School construction strategies for universal primary education in Africa. The World Bank, Washington Dc., USA.
  • Terlou, B., van Kuijk, E. & Vennix, J. A. M. (1991). A system dynamics model of efficiency of primary education in Latin America. In: Proceedings of the international conference of the system dynamics society, 578-587.
  • Weimer-Jehle, W. (2006). Cross-impact balances: A system-the-oretical approach to cross-impact analysis. Technological Forecasting and Social Change, 73(4), 334-361, DOI:10.1016/J. TECHFORE.2005.06.005.[Crossref]

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.doi-10_2478_v10051-010-0010-5
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