Abstract
Education is considered to be the most effective tool that people can use to lift themselves out of poor socioeconomic backgrounds and lead to professional success, which in turn improves society. Since an education system often supports individuals with a higher socioeconomic status (SES), it may not resolve the issue of socioeconomic background impacting on career outcomes. Given the nature of the research questions, an individualistic approach is used for selecting tools. Using qualitative and quantitative analysis methods, we argue that graduates studying an 8-year engineering program fail to succeed compared to counterparts who studied a 4-year engineering program. Findings suggest that engineering graduates’ socioeconomic backgrounds help them with their career advancement. A policy intervention may help to address the influence of SES on engineering education and professional employment.









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Notes
Organisation for Economic Cooperation and Development (OECD). Scaling Procedures and Construct Validation of Context Questionnaire Data. Ch. 16 (OECD Publishing, 2017).
In this case, we mainly focus on the existing teaching and logistic infrastructure of the education institutions.
For employer perspectives on graduates’ employability skills (Bell, 2010), we mainly conducted semi-structured interviews with personnel from two multinational corporations and government institutions.
These were from both universities.
Both at pre-engineering programs and engineering program.
The income categories are defined by following the government’s segmentation as prescribed by BBS (Bangladesh Bureau of Statistics).
After completing the JSC exam, some students can enrol in a 2-year SSC-Vocational (SSC-VOC) program, which is equivalent to the SSC.
SSC graduates can go either into a HSC or DE program while SSC-VOC can enrol only in the DE program. Therefore, DE graduates from SSC-VOC have at least 6 years of vocational and engineering education.
DUET graduates originally from SSC-VOC have at least 10 years of technical and engineering education while BUET students have a 4-year engineering education.
MBA of Dhaka University (specifically offered by the Institute of Business Administration) is considered the most elite program in the country. Many engineers want to study this program to sharpen their managerial skills.
We believe that both theories are in some contexts very similar and it is not necessarily a case of ‘either-or’.
It could refer to various kinds of abilities such as innate attributes.
References
Alam, G. M. (2021). Clustering education policy in secondary provision: Impact on higher education and job market. International Journal of Educational Reforms, 30(1), 56–76.
Alam, G. M., & Forhad, M. A. R. (2021a). Clustering secondary education and the focus on science: Impacts on higher education and the job market in Bangladesh. Comparative Education Review, 65(2), 310–331.
Alam, G. M., & Forhad, M. A. R. (2021b). Roadblocks to university education for diploma engineers in Bangladesh. Higher Education, Skills and Work-Based Learning, 11(1), 59–77.
Alam, G. M., Forhad, M. A. R., & Ismi, A. (2020). Can education as an ‘International Commodity’ be the backbone or cane of a nation in the era of fourth industrial revolution? - A comparative study. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2020.120184.
Alam, G. M., Mishra, P. K., & Shahjamal, M. M. (2014). Quality assurance strategies for affiliated institutions of HE: A case study of the affiliates under National University of Bangladesh. Higher Education, 68(2), 285–301.
Alam, G. M., Parvin, M., & Roslan, S. (2020). Growth of private university business following “oligopoly” and “SME” approaches: An impact on the concept of university and on society. Society and Business Review. https://doi.org/10.1108/SBR-06-2020-0083.
BANBEIS Reports from (2020). Bangladesh Education Statistics. Ministry of Education
Banerjee, A., Ferrara, F. L., & Victor, O. (2019). Entertainment, education, and attitudes toward domestic violence. AEA Papers and Proceedings, 109(1), 133–137.
Becker, G. (1964). Human capital: A theoretical and empirical analysis with special reference to education. University of Chicago Press.
Bell, J. (2010). Doing your research project. Open University.
Blaug, M. (1992). The methodology of economics: Or, how economists explain. Cambridge University Press.
Bos, J. M., Huston, A. C., Granger, R. C., Duncan, G. J., Brock, T. W., & McLoyd, V. C. (1999). New hope for people with low incomes: Two-year results of a program to reduce poverty and reform welfare.
Child Trends (2015). Parental expectations for their children’s academic attainment. Available at. http://www.childtrends.org/wpcontent/uploads/2012/07/115_Parental_Expectations.pdf. Accessed 20 August 2020.
Chowdhury, R., & Sarkar, M. (2018). Education in Bangladesh: Changing contexts and emerging realities. In R. Chowdhury, M. Sarkar, F. Mojumder, & M. Roshid (Eds.), Engaging in educational research. Education in the Asia-Pacific region: Issues, concerns and prospects, vol 44. Springer.
Conger, R. D., & Donnellan, M. B. (2007). An interactionist perspective on the socioeconomic context of human development. Annual Review of Psychology, 58(1), 175–199.
Conger, R. D., Wallace, L. E., Sun, Y., Simons, R. L., McLoyd, V. C., & Brody, G. H. (2002). Economic pressure in African American families: A replication and extension of the family stress model. Developmental Psychology, 38(2), 179.
Connelly, B. L., Certo, S. T., Ireland, R. D., & Reutzel, C. R. (2010). Signaling theory: A review and assessment. Journal of Management, 37(1), 39–67.
David, P. A. (1998). Common agency contracting and the emergence of "Open Science" Institutions. The American Economic Review 88(2), 15–21
Davis-Kean, P. E. (2005). The influence of parent education and family income on child achievement: The indirect role of parental expectations and the home environment. Journal of Family Psychology, 19(2), 294–308.
Downey, G. L. (2009). What is engineering studies for? Dominant practices and scalable scholarship. Engineering Studies 1(1), 55–76.
Egerton, M. (2002). Higher education and civic engagement. The British Journal of Sociology, 53(4), 603–620.
Feibleman, J. K. (1961). Pure Science, Applied Science, Technology, Engineering: An Attempt at Definitions, Technology and Culture 2(4), 305-317.
Goodman, D., (2014). Class in contemporary China: Polity Press.
Green, L. W. (1970). Manual for scoring socioeconomic status for research on health behaviour. Public Health Reports, 85(9), 815–827.
Jencks, C., Smith, M., Acland, H., Bane, M. J., Cohen, D., Gintis, H., Heynse, B., and Michelson, S., (1972). Inequality: A reassessment of the effect of family and schooling in America: Basic Books.
Johansson, C. (2000) Communicating, Measuring and Preserving Knowledge in Software Development, Kaserntryckeriet AB, Sweden.
Jones, M. K. (2008). Disability and the labour market: A review of the empirical evidence. Journal of Economic Studies, 35(5), 405–424.
Kincaid, A. P., & Sullivan, A. L. (2017). Parsing the relations of race and socioeconomic status in special education disproportionality. Remedial and Special Education, 38(3), 159–170.
Lewis, M. S. (1991). The polytechnics: a peculiarly British phenomenon. Regional Development 2(4), 24–34.
Liu, J., Peng, P., & Luo, L. (2020). The relation between family socioeconomic status and academic achievement in China: A meta-analysis. Educational Psychology Review, 32, 49–76.
Lucena, J., & Schneider, J. (2008). Engineers, development, and engineering education: From national to sustainable community development. European Journal of Engineering Education, 33(33), 247–257.
Marginson, S. (2016). The worldwide trend to high participation higher education: Dynamics of social stratification in inclusive systems. Higher Education, 72(4), 413–434.
Marginson, S. (2019). Limitation of human capital theory. Studies in Higher Education, 44(2), 287–301.
Marjoribanks, K. (1979). Families and their learning environments: An empirical analysis: Routledge
McDermott, P. A., & Spencer, M. B. (1997). Racial and social class prevalence of psychopathology among school-age youth in the United States. Youth & Society, 28(4), 387–414.
Mincer, J. (1958). Investment in human capital and personal income distribution. Journal of Political Economy, 66(4), 281–302.
Mistry, R. S., Vanderwater, E. A., Houston, A. C., & McLoyd, V. C. (2002). Economic well-being and children’s social adjustment: The role of family process in an ethnically diverse low-income sample. Child Development, 73(3), 935–951.
Murphy, P., & Poist, R. F. (2007). Skill requirements of senior-level logisticians: A longitudinal assessment. Supply Chain Management, 12(6), 423–431.
Neuenschwander, M. P., Vida, M., Garrett, J. L., & Eccles, J. S. (2007). Parents” expectations and students” achievement in two western nations. International Journal of Behavioral Development, 31(6), 594–602.
Newman, J. H. (1852). The idea of university defined and illustrated. Oxford University Press.
Noel, S., & de Broucker, P. (2001). Intergenerational inequities: A comparative analysis of the influence of parents’ educational background on length of schooling and literacy skills. In W. Hutmacher, D. Cochrane, & N. Bottani (Eds.), In pursuit of equity in education: Using international indicators to compare equity policies (pp. 277–298). Kluwer Academic.
Perry, L. B. (2012). Causes and effects of school socio-economic composition? A review of the literature. Education and Society, 30(1), 19–35.
Pickety, T. (2014). Capital in the Twenty-First Century, Belknap Press, Cambridge.
Piketty and Seaz (2013) in the text and reference is Piketty, T. and Seaz, E. (2013) A Theory of Optimal Inheritance Taxation Econometrica, 81(5), 1851–1886.
Poon, K. (2020). The impact of socioeconomic status on parental factors in promoting academic achievement in Chinese children. International Journal of Educational Development, 75, 102175.
Riddell, W. C., & Song, X. (2011). The impact of education on unemployment incidence and re-employment success: Evidence from the US labour market. Labour Economics, 18(4), 453–463.
Riley, D. (2017) Rigor/Us: Building Boundaries and Disciplining Diversity with Standards of Merit. Engineering Studies 9 (3), 249–265.
Rivera, L., (2015). Pedigree: How elite students get elite jobs: Princeton
Schultz, T. (1961). Capital formation by education. Journal of Political Economy, 68(6), 45–67.
Soares, J. (2007). The power of privilege: Yale and America’s elite colleges. Stanford University Press.
Spence, M. (1973). Job marketing signalling. Quarterly Journal of Economics, 87(3), 355–374.
Stiglitz, J. E. (1975). The theory of “screening”, education, and the distribution of income. American Economic Review, 65, 283–300.
Tan, E. (2014). Human capital theory: A holistic criticism. Review of Educational Research, 84(3), 411–445.
Trace, S. R. (2015). The role of the engineer in developing countries. Proceedings of the Institute of Civil Engineers- Municipal Engineers, 103(2), 105–118.
Triventi, M. (2013). Stratification in higher education and its relationship with social inequality: A comparative study of 11 European countries. European Sociological Review, 29(3), 489–502.
Triyono, M. B., & Mateeke Moses, K. (2019). Technical and vocational education and training and training in Indonesia. In B. B. Paryono (Ed.), Vocational education and training in ASEAN member states. Perspectives on Rethinking and Reforming Education. Springer. https://doi.org/10.1007/978-981-13-6617-8_3.
Tynkkynen, L., Tolvanen, A., & Salmela-Aro, K. (2012). Trajectories of educational expectations from adolescence to young adulthood in Finland. Developmental Psychology, 48(6), 1674.
Ware, J. K. (2019). Property value as a proxy of socioeconomic status in education. Education and Urban Society, 51(1), 99–119.
Weiss, A. (1995). Human capital vs. signalling explanations of wages. Journal of Economic Perspectives, 9(4), 133–154.
Wu, X. (2017). Higher education, elite formation and social stratification in contemporary China: Preliminary findings from the Beijing College Students Panel Survey. Chines Journal of Sociology, 3, 3–31.
Yamane, T. (1967). Statistics, An Introductory Analysis, New York: Harper and Row.
Young, M., & Hordern, J. (2020). Does the vocational curriculum have a future? Journal of Vocational Education & Training, 1–21. https://doi.org/10.1080/13636820.2020.1833078.
Zhao, W. (2012). Economic inequality, status perceptions, and subjective well-being in China’s transitional economy. Research in Social Stratification and Mobility, 30(4), 433–450.
Acknowledgements
We greatly acknowledge the comments made by the reviewers and Professor Simon Marginson (Editor-Higher Education). Without their thorough input, the manuscript would not have reached its enriched version. We would also like to express our gratitude to Professor Christine Ennew Provost, University of Warwick and Professor Charlie Russo, University of Dayton for their kind insights with innovative ways to deal with the reviewers’ comments. Especial thanks to Mr. Md. Moniruzzaman, Deputy Registrar, DUET who died from being infected by COVID-19 and Ms. Morsheda Parvin who provided a unique support for data collection.
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Alam, G.M., Forhad, M.A.R. What makes a difference for further advancement of engineers: socioeconomic background or education programs?. High Educ 83, 1259–1278 (2022). https://doi.org/10.1007/s10734-021-00741-4
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DOI: https://doi.org/10.1007/s10734-021-00741-4