IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0153091.html
   My bibliography  Save this article

Does Poor Quality Schooling and/or Teacher Quality Hurt Black South African Students Enrolling for a Degree at the University of KwaZulu-Natal?

Author

Listed:
  • Mike Murray

Abstract

Wealthy schools appoint better qualified teachers, less wealthy schools under qualified teachers. Added to this mix is a powerful teacher’s union whose policies attempt to entrench the job security of teachers in the less wealthy schools irrespective of whether they can teach their subjects or not. Can one isolate these effects from that of other socio-demographic factors that may also be affecting the performance of students when they enrol for a degree at the University of KwaZulu-Natal (UKZN)? An outcome variable that subtracts the number of courses that have been failed from the number of courses that have been passed, dividing this by the total number of years that they have spent studying for a particular degree will be used as a response variable for this paper. Objectives: The system of secondary education in South Africa is highly polarized. On the one hand, we have a group of mainly Black African students, forming about 80% of the total student population, that come from a vastly under-resourced rural or township based community. On the other hand, we have a group of predominantly White and Indian students who are able to attend a far better resourced set of private schools. Added to this mix, we have 240,000 of South Africa’s total number of 390,000 primary and secondary school teachers who belong to a powerful teacher’s union which enjoys a strong political alliance with the ruling party in South Africa. With most of their union members teaching in the less wealthy schools in South Africa, `school background’ now includes a politically motivated component that focuses on teacher self–interest rather than the education of the child. What sort of effect does school background have on the performance of students when they enter an institution of higher learning? More importantly, can one isolate the effect of school background from that of other possibly confounding factors such as gender, financial aid and the receipt of some form of residence based accommodation that will also impact on their performance while at university? Method: A total of 6,183 students enrolling for a degree at the University of KwaZulu-Natal (UKZN) over the period 2008 to 2012 were used a dataset for this study. Permission to use this dataset was given by the Teaching and Learning Office at UKZN. The database that was used for this study was obtained from the Division of Management Information (DMI) office at UKZN. The percentage based marks that students have managed to record for Mathematics, English, Biology and Accounting in their school leaving exams together with some other important but observable socio-economic factors were included in a regression model to determine how students will perform at UKZN. Socio-economic variables relating to gender, race and whether they have receivd some form of financial aid or residence based accommodation while studying at university were also included as predictor variables in our regression based model structure. Results and Conclusions: An interaction effect associated with being a Black African student who has been privileged enough to attend a quintile five school was found to be significant. A main effect associated with being able to attend a more privileged quintile 5 school however was found to be nonsignificant even after an adjustment has been made for gender, race, the receipt of some form of financial aid and residence based accommodation. Given that UKZN already has a number of bridging programs in place that target students who have come from a less privileged background, for university based policymakers, this result may help to justify the targeted selection of Black African students from the less privileged schools that is taking place. Because some of the disparity in matric performance that we are observing may also be associated with teacher competency and the protective influence of a powerful teacher’s union, this paper may also help to highlight some of the economic costs related with having under-prepared students. “A mind is a terrible thing to waste”–United Negro College Fund.

Suggested Citation

  • Mike Murray, 2016. "Does Poor Quality Schooling and/or Teacher Quality Hurt Black South African Students Enrolling for a Degree at the University of KwaZulu-Natal?," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-11, April.
  • Handle: RePEc:plo:pone00:0153091
    DOI: 10.1371/journal.pone.0153091
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0153091
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0153091&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0153091?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Siegfried, John J & Fels, Rendigs, 1979. "Research on Teaching College Economics: A Survey," Journal of Economic Literature, American Economic Association, vol. 17(3), pages 923-969, September.
    2. Leonard C. Smith, 2009. "An Analysis Of The Impact Of Pedagogic Interventions In First‐Year Academic Development And Mainstream Courses In Microeconomics," South African Journal of Economics, Economic Society of South Africa, vol. 77(1), pages 162-178, March.
    3. Cornéa van Walbeek, 2004. "Does Lecture Attendance Matter? Some Observations From A First‐Year Economics Course At The University Of Cape Town," South African Journal of Economics, Economic Society of South Africa, vol. 72(4), pages 861-883, September.
    4. Kudayja Parker, 2006. "The Effect Of Student Characteristics On Achievement In Introductory Microeconomics In South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 74(1), pages 137-149, March.
    5. Smith, Jeremy & Naylor, Robin, 2005. "Schooling effects on subsequent university performance: evidence for the UK university population," Economics of Education Review, Elsevier, vol. 24(5), pages 549-562, October.
    6. Sam Allgood & William B. Walstad, 1999. "What Do College Seniors Know about Economics?," American Economic Review, American Economic Association, vol. 89(2), pages 350-354, May.
    7. Servaas van der Berg, 2007. "Apartheid's Enduring Legacy: Inequalities in Education-super- 1," Journal of African Economies, Centre for the Study of African Economies, vol. 16(5), pages 849-880, November.
    8. Leonard Smith & Lawrence Edwards, 2007. "A Multivariate Evaluation Of Mainstream And Academic Development Courses In First‐Year Microeconomics," South African Journal of Economics, Economic Society of South Africa, vol. 75(1), pages 99-117, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mr. Montfort Mlachila & Tlhalefang Moeletsi, 2019. "Struggling to Make the Grade: A Review of the Causes and Consequences of the Weak Outcomes of South Africa’s Education System," IMF Working Papers 2019/047, International Monetary Fund.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Leonard C. Smith, 2009. "An Analysis Of The Impact Of Pedagogic Interventions In First‐Year Academic Development And Mainstream Courses In Microeconomics," South African Journal of Economics, Economic Society of South Africa, vol. 77(1), pages 162-178, March.
    2. Pm Horn & Ai Jansen, 2009. "An Investigation Into The Impact Of Tutorials On The Performance Of Economics Students," South African Journal of Economics, Economic Society of South Africa, vol. 77(1), pages 179-189, March.
    3. Yvonne Durham & Thomas Mckinnon & Craig Schulman, 2007. "Classroom Experiments: Not Just Fun And Games," Economic Inquiry, Western Economic Association International, vol. 45(1), pages 162-178, January.
    4. Justine Burns & Simon Halliday & Malcolm Keswell, 2012. "Gender and Risk Taking in the Classroom," SALDRU Working Papers 87, Southern Africa Labour and Development Research Unit, University of Cape Town.
    5. Stephen Graham Saunders, 2008. "Toward Bridging The Gap Between Theory And Empirical Reality," South African Journal of Economics, Economic Society of South Africa, vol. 76(4), pages 738-748, December.
    6. Karla Borja & Suzanne Dieringer, 2023. "Telling My Story: Applying Storytelling to Complex Economic Data," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 49(3), pages 328-348, June.
    7. Goedde-Menke, Michael & Langer, Thomas & Pfingsten, Andreas, 2014. "Impact of the financial crisis on bank run risk – Danger of the days after," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 522-533.
    8. Lin, Chien-An & Bates, Timothy C., 2022. "Smart people know how the economy works: Cognitive ability, economic knowledge and financial literacy," Intelligence, Elsevier, vol. 93(C).
    9. Shinice Jackson & Derek Yu, 2023. "Re-examining the Multidimensional Poverty Index of South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 166(1), pages 1-25, February.
    10. Nicola Branson & Julia Garlick & David Lam & Murray Leibbrandt, 2012. "Education and Inequality: The South African Case," SALDRU Working Papers 75, Southern Africa Labour and Development Research Unit, University of Cape Town.
    11. James E. McClure & Lee C. Spector, 1997. "Behavior and Performance in the Economics Classroom," Working Papers 199701, Ball State University, Department of Economics, revised Jan 2003.
    12. Zimmermann, Klaus F. & Bauer, Thomas K., 1998. "Learning Efficiency of Economics Students," IZA Discussion Papers 23, Institute of Labor Economics (IZA).
    13. Delaney, Liam & Harmon, Colm & Redmond, Cathy, 2011. "Parental education, grade attainment and earnings expectations among university students," Economics of Education Review, Elsevier, vol. 30(6), pages 1136-1152.
    14. Richard Mussa, 2013. "Rural--urban differences in parental spending on children's primary education in Malawi," Development Southern Africa, Taylor & Francis Journals, vol. 30(6), pages 789-811, December.
    15. Martin Abel & Rulof Burger & Patrizio Piraino, 2017. "The value of reference letters," Working Papers 06/2017, Stellenbosch University, Department of Economics.
    16. Bauer, Thomas K. & Grave, Barbara S., 2011. "Performance-related Funding of Universities: Does More Competition Lead to Grade Inflation?," IZA Discussion Papers 6073, Institute of Labor Economics (IZA).
    17. Stephen B. Deloach & Steven A. Greenlaw, 2005. "Do Electronic Discussions Create Critical Thinking Spillovers?," Contemporary Economic Policy, Western Economic Association International, vol. 23(1), pages 149-163, January.
    18. Carlos Gradín, 2019. "Occupational segregation by race in South Africa after apartheid," Review of Development Economics, Wiley Blackwell, vol. 23(2), pages 553-576, May.
    19. Phillip Saunders, 2011. "A history of economic education," Chapters, in: Gail M. Hoyt & KimMarie McGoldrick (ed.), International Handbook on Teaching and Learning Economics, chapter 1, Edward Elgar Publishing.
    20. Mussa, Richard, 2009. "Impact of fertility on objective and subjective poverty in Malawi," MPRA Paper 16089, University Library of Munich, Germany.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0153091. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.