IDEAS home Printed from https://ideas.repec.org/a/rbs/ijbrss/v14y2025i2p352-364.html
   My bibliography  Save this article

Assessing gender disparities and variability in STEM education using subject scores

Author

Listed:
  • Vhutshilo Nekhubvi

    (University of venda)

  • Vuledzani Makhoshi
  • Vhutshilo Molaudzi

    (University of venda)

  • Thakhani Ravele

    (University of venda)

  • Ndivhuwo Ndou

    (University of venda)

  • Rendani Netshikweta

    (University of venda)

Abstract

The study claims that gender greatly affects STEM performance, with one gender continuously outperforming another, which may influence instructors' methods. One gender's performance ratings vary more than the other, suggesting STEM academic success is inconsistent. We collected data using varied methodologies. STEM enrolment and performance data were evaluated using Python statistical analysis programs with mean, median, and variability evaluations, and boxplots, pie charts, and bar charts were shown. This study found that (i) STEM qualifications have significant enrolment disparities, with Extended BSc Biochemistry and Microbiology being the most popular and Extended BSc Mathematics and Statistics being the least, and (ii) curriculum attractiveness and employment prospects strongly influence student selections. Female students excelled in Biology, Chemistry, and English, while male students excelled in IT and Mathematics. Finally, informed policy formulation and curriculum development are needed to improve STEM student engagement and achievement across genders. Key Words:STEM, IT, physics, mathematics, English

Suggested Citation

  • Vhutshilo Nekhubvi & Vuledzani Makhoshi & Vhutshilo Molaudzi & Thakhani Ravele & Ndivhuwo Ndou & Rendani Netshikweta, 2025. "Assessing gender disparities and variability in STEM education using subject scores," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 14(2), pages 352-364, March.
  • Handle: RePEc:rbs:ijbrss:v:14:y:2025:i:2:p:352-364
    DOI: 10.20525/ijrbs.v14i2.3902
    as

    Download full text from publisher

    File URL: https://ssbfnet.com/ojs/index.php/ijrbs/article/view/3902/2719
    Download Restriction: no

    File URL: https://doi.org/10.20525/ijrbs.v14i2.3902
    Download Restriction: no

    File URL: https://libkey.io/10.20525/ijrbs.v14i2.3902?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
    ---><---

    More about this item

    Keywords

    stem; it; physics; mathematics; english;
    All these keywords.

    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:rbs:ijbrss:v:14:y:2025:i:2:p:352-364. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Umit Hacioglu (email available below). General contact details of provider: https://edirc.repec.org/data/ssbffea.html .

    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.