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Revised

Enhancing Gender Equity in STEM Education: A Comparative Study of the Impact of School Ownership on Female Enrollment

[version 2; peer review: 2 approved with reservations]
Previously titled: Enhancement of private schools for collaboration to address gender equity gap of STEM education: Case study in Mbeya city of Tanzania
PUBLISHED 21 Oct 2025
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Abstract

Investment in education to guarantee gender equity in developing countries has often focused on pedagogy, facilities, and cultural factors. However, private schools provide examples that, if leveraged, can improve girls’ enrollment in STEM education. This quantitative comparative study examined the impact of school ownership on female enrollment in Mbeya City, Tanzania, analyzing 7936 candidates from 58 secondary schools (32 private) who sat for the 2022 Certificate of Secondary Education Examination (CSEE). Of these, 2232 candidates were from private schools. Analysis using chi-square tests and graphical methods revealed that private schools not only had higher female enrollment in STEM subjects but also showed no gender bias in performance, whereas boys outperformed girls in public schools. Among 2202 candidates who passed basic mathematics, 999 were girls, with 626 (63%) from private schools. The study concludes that collaboration with private schools can enhance female enrollment and close gender gaps in STEM performance. It recommends that policymakers engage private schools and encourage science students to take both physics and mathematics for sustainable STEM education development.

Keywords

STEM education, gender equity, Mbeya city of Tanzania, Private schools

Revised Amendments from Version 1

We appreciate the constructive feedback provided by the reviewers and editorial team on the previous version of this manuscript. In response, the paper has undergone substantial revision to enhance its clarity, methodological rigor, and alignment with the study’s objectives.
Major updates include:
Title refinement: The title has been modified to “Enhancing Gender Equity in STEM Education: A Comparative Study of the Impact of School Ownership on Female Enrollment” to better reflect the study’s focus and comparative approach.
Abstract revision: The abstract was completely rewritten to explicitly describe the study design, data source, analytical methods, findings, and recommendations, as suggested by reviewers.
Methodology overhaul: The Methodology section now clearly details the quantitative comparative design, the data source (NECTA 2022 CSEE results), and the analytical methods (chi-square and graphical analysis) used. It also clarifies the study’s scope and limitations.
Results and discussion enhancement: Additional explanations have been added to strengthen the interpretation of findings regarding gender equity and school ownership.
Language and structure improvements: The manuscript was edited for conciseness, coherence, and academic tone. Minor grammatical and stylistic corrections were made throughout.
We believe these changes have significantly improved the manuscript’s clarity and contribution to the understanding of gender equity in STEM education within the Tanzanian context.

See the author's detailed response to the review by María Goretti Alonso de Castro

Introduction

The adoption of Sustainable Development Goals (SDGs) by the United Nations (UN) in September 2015 placed the world to ensure gender equity in science, technology, engineering and mathematics (STEM) education (Koehler, 2016; Leal Filho et al., 2022; Zorzano, 2020). Gender is commonly representing female or male, however, in this study, added to that describes the socio-cultural characters of masculinity and femininity according to practices by individual based on their culture, while sex describes the biological characteristics of women and men (Unicef & others, 2020). In this regard, gender may change with time and place depending on roles taken by women and men, whereas sex never change. Before 2016, sub-Saharan Africa had a substantial number of secondary schools whose quality of education was questionable according to United Nations, this being one of the reasons to launch the fourth Sustainable Development Goal (SDG4) (Unterhalter, 2019).

Some regions of the world are closing gender equity gaps in STEM education like USA, and Europe (Kamberidou & Pascall, 2019), but gender inequity in STEM education is substantial in sub-Saharan Africa, the Arab states, and south and west Asia (Ismail, 2018; Loyalka et al., 2021). Emphasis to enhance STEM education in literature has centered resolution on pedagogical skills, low teacher student ratio, incompetent teachers, and education facility availability (Allen et al., 2016; Huang et al., 2022; Teo & Ke, 2014). Moreover, girls' poor participation in STEM subjects in secondary schools especially in sub-Saharan Africa are more associated with cultural practices and other reasons associated with masculinity (Adams & Baddianaah, 2023; Lewin, 2009).

Education policy makers in Tanzania engaged private sectors to run private schools along with public schools (Komba, 2017). This lead to contribution in containing not only enrolment issues in STEM education but also great improvement of gender equity (Weaver, 2011). Evaluation of private schools’ contribution is indispensable, this fact holds following the reality that graduates from private education sectors become part of the nation decent and future human resource capital (Achoui, 2009; Budhwar & Sparrow, 2002; Sebola, 2023). Table 1 presents the performance of students from 32 private schools in Mbeya city. Majority of students in privates’ schools passed in first and second division. Unlike in private schools, candidates in public schools' majority were in the fourth division Table 2.

Table 1. CSEE results of the 32 private schools in Mbeya city.

DivisionsTotalGirls Boys
Div I715359356
Div II569270299
Div III406206200
Div IV480267213
Div 0623428
All Students223211361096

Table 2. CSEE results of the 26 public schools in Mbeya city.

DivisionsTotalGirls Boys
Div I28083197
Div II775372403
Div III926457117
Div IV289617111185
Div 0827370457
All students570429932711

In Tanzania, efforts to solve gender issues in STEM education is historical (Samoff, 1987). Several bodies like United States Agency for International Development (USAID) have supported to ease the tension of gender inequity in STEM education (Stromquist, 2006; Swainson, 2000).

This report unleashes aspects of private schools’ contributions in gender equity in STEM education following credible educational policies by the Tanzanian government and promotes improvement in education investment for harmonization of public and private schools. This study illustrated by concrete examples the contribution of private schools in STEM education. Contribution is not only an increase in number of students specializing in STEM subjects but also significant improvement in diminishing of gender equity gap of STEM education.

Figure 1 depicts performance in STEM subjects of biology, chemistry, physics and basic mathematics of 2232 candidates from 32 private secondary schools in Mbeya city. Comparable performance of 5704 candidates from 26 public schools Figure 1 indicated deprived performance in STEM subjects. In parallel to more girls’ enrolment over boys, more girls passed every STEM subject in private schools except for physics. However, regardless of more girl’s enrolment in public schools, boys outperformed girls in every STEM subject except for biology.

95ed1cc3-ee2d-4faf-8cca-14b7e0f1421c_figure1.gif

Figure 1. CSEE 2022 results of STEM subjects in private schools.

Objective

The study is for enhancing education investment policies along with engaging private school investments for collaboration to address challenges of gender equity in STEM education.

Specific objectives

  • i. Stimulate harmony and more collaboration between education policy makers and private schools investors to enrich gender equity in STEM education.

  • ii. Compare private schools and public schools’ performance of girls and boys in STEM subjects.

Methods

This study employed a quantitative comparative research design to examine the impact of school ownership on female enrolment and performance in STEM subjects in Mbeya City, Tanzania. The study utilized secondary data obtained from the 2022 Certificate of Secondary Education Examination (CSEE) results available on the National Examinations Council of Tanzania (NECTA) website. The data comprised examination results of Form Four students from 58 secondary schools (32 private and 26 public), including a total of 7936 candidates, of which 2232 were from private schools.

Data analysis focused on the observed performance outcomes in STEM subjects and female enrollment patterns. Two statistical methods were employed: chi-square tests to assess associations between school ownership and gendered performance, and graphical analysis to visualize enrollment and performance trends. This study did not examine classroom instruction, teaching strategies, or other qualitative factors influencing results; rather, it concentrated solely on exam performance as recorded by NECTA. The scope is therefore limited to determining whether school ownership influences gender equity and female participation in STEM education.

Data collection

The data were collected in separation of private and public schools as in Table 3 and Table 4 respectively, indicating number of girls and boys in every STEM subject. The researcher processed the data, analyzed by employing chi-square test for interpretation, and eventually reported the finding.

Table 3. CSEE 2022 results of the STEM subjects in 32 private secondary schools. (Source: NECTA 2022).

GenderPass in BiologyPass in ChemistryPass in PhysicsPass in Mathematics Total
Girls 1020 (1032)549 (544)393 (412)626 (601)1136
Boys 1008 (996)520 (525)417 (398)555 (580)1096
Total 2028106981011812232

Table 4. CSEE Students performance of 26 public schools in STEM subjects.

GenderPass in BiologyPass in ChemistryPass in PhysicsPass in MathematicsTotal
Girls 1616 (1737)560 (697)234 (396)373 (536)2993
Boys 1695 (1574)768 (631)520 (358)648 (485)2711
Total 3311132875410215704

Data collection

The Author conducted data collection by reading and recording from the report by NECTA of CSEE for the year 2022, particularly, selecting all Mbeya city secondary schools participated in the form four national examinations of year 2022. In addition to division-wise performance as organized by NECTA, the author went further by listing overall performance of every STEM subject and eventually bar charts plotted as in Figure 1 and Figure 2.

95ed1cc3-ee2d-4faf-8cca-14b7e0f1421c_figure2.gif

Figure 2. CSEE 2022 results of STEM subjects of public school in Mbeya city.

Data analysis

The author used the chi-square approach to determine whether there was a significant difference in the passing of STEM subjects between boys and girls. The focus of the STEM subjects was biology, chemistry, physics and basic mathematics. The degree of freedom evaluated leads to a critical value (p) from statistical tables, a test statistic computed for each group of students separately, and the decision made based 95% confidence interval. Records of number of passes in STEM subject are as listed in Table 3 and Table 4. No software was involved and all computations conducted manually, aided by Casio scientific calculator.

Calculation of Chi – square , χ2 :

Numbers in parentheses of Table 3 are theoretical expectations of gender equity. The author went through five steps to justify whether gender has an effect in the performance of STEM subjects.

Step 1: Define Null ( H0 ) and Alternative Hypotheses ( H1 ):

H0 : For the students in Mbeya city from private secondary schools, gender has no effect to pass in STEM subjects.

H1 : For the students in Mbeya city private secondary schools, gender has effect to pass in STEM subjects.

Step 2: State the confidence interval: =0.05

Step 3: Calculate degree of freedom (df ) and state the critical value (p):

df=rows1columns1=2141=3 , so critical value, p = 7.81.

That is if chi-square ( χ2 ) is greater than 7.81, reject H0 .

Step 4: Calculation of test statistic χ2=f0fe2fe , where fe=fcfrn and f0=observed frequence, fe=expected frequence , fc=frequence of the column,fr=frequence of therow , n=total number of subjects.

Step 5: Calculation of theoretical pass expectations: Girls expected to pass biology in first cell of Table 3,

Girlsbiology11=202811362232=1032
χpr2=f0fe2fe
χpr2=1020103221032+10089962996+5495442544+5205252525+3924122412+4173982398+6266012601+5555802580=4.28

χpr2=4.28<7.81473=p . Therefore, the null hypothesis is true.

The author applied a similar testing to candidates of public schools.

With similar calculations as Table 3 of private schools, χpr2=f0fe2fe=318.33425 for Table 4. However, χpr2=4.28<7.81473=p . Therefore, we reject the null hypothesis.

Analysis of STEM prospects

The author went further to ascertain every student with a pass of at least D grade (minimum pass) in both physics and basic mathematics and classified this group as minimum pass in STEM. Moreover, students with at least two C grades and one D pass grade in any of three subjects: physics, chemistry and biology (PCB) or same passes in any of three: physics, chemistry and mathematics (PCM) classified as potential PCM or PCB candidates. A collection of students with minimum passes in STEM and/or potential PCM or PCB candidates grouped as potential STEM candidates.

Results

The degree of freedom for each group is three with α =0.05 of which the collected critical value, p=7.81 . Computed chi-squares were χpr2=4.28 for private schools χpr2=318.33 for public schools. In addition to chi-square testing of the data, student performance in STEM subjects were listed in tabular ( Table 3, Table 4) form along with plotting the bar charts ( Figure 1, Figure 2).

Impact of performance of STEM subjects in STEM education prospects

Performance in STEM subjects determines number of candidate placements in high school PCB or PCM combinations and prospects of STEM career candidates in higher education institutions. Out of 2232 candidates, private schools contributed 783 (35%) candidates of which 380 were girls able to further studies in STEM education ( Table 5). On the other hand, out of 5704 candidates, public schools contributed 699 (12%) candidates of which 206 were girls with potential to advance in STEM careers in higher education ( Table 6).

Table 5. Estimated CSEE 2022 candidates to enter STEM career or major science from 32 private schools.

GenderPass in mathematicsPass in physics and mathematicsPotential PCM or PCBPotential STEM candidates Total
Girls 6263803793801136
Boys 5553964034031096
Total 11817767827832232

PCM: physics, chemistry and mathematics; PCB: physics, chemistry and biology; STEM: science, technology, engineering and mathematics.

Table 6. Estimated CSEE 2022 candidates to enter STEM career or major science from 26 public schools.

GenderPass in mathematicsPass in physics and mathematicsPotential PCM or PCBPotential STEM candidates Total
Girls 3732062052062993
Boys 6484933754932711
Total 10216995806995704

PCM: physics, chemistry and mathematics; PCB: physics, chemistry and biology; STEM: science, technology, engineering and mathematics.

Discussion

Based on the data analysis, we calculated critical value, p = 7.81 and a test statistic computed χpr2=4.28 for all students’ performance in STEM subjects for private schools and χpr2=318.33 for public schools. It is clear that χpr2=4.28<7.81=p , and χpr2=318.33>p . Recall the null and alternative hypothesis:

Null ( H0 ) and Alternative Hypotheses ( H1 ):

H0 : For the students in Mbeya city from private/public secondary schools, gender has no influence to pass in STEM subjects.

H1 : For the students in Mbeya city from private/public secondary schools, gender has influence to pass in STEM subjects.

In this regard, we do accept the null hypothesis for private schools and reject the null hypothesis for public schools. Therefore, private schools in Mbeya city resolved the gender equity gap in performance of STEM subjects. On the other hand, gender equity gaps are unresolved between girls and boys in STEM subjects’ performance for public schools. That implies that the gender equity gap shall extend to the future STEM careers of graduates from public schools, and therefore, spread to the whole nation and worldwide at large.

We suppose education policy had had recognized private sectors contribution and further promote teamwork along with private schools then more output that is stunning would surface. Thus, in so speaking, this study saves to encourage education policy makers to enrich policy mechanism for collaboration and possible embolden of private schools for more enrolment in STEM education. This is in parallel with the implementation of SDG4 realization in 2030. It is also clear that passing in both physics and basic mathematics determines the potential of STEM career prospects from secondary schools ( Table 5, Table 6).

Conclusion and recommendations

Private schools’ reflection of balancing gender in STEM education in the case of Mbeya city offers a great step toward achieving SDG4 of the United Nations. The author recommends policy makers to engage private schools in addressing the challenges of gender equity in STEM education in a collaborative manner rather than other way around with public schools. STEM education stakeholders need to stress not only STEM careers position in the 21st century of job placements but also the importance of taking both basic mathematics and physics as determinants of STEM career for secondary school students. Basic mathematics alone is not enough.

This study is calling for further investigation as to why in the same nation with likely the same environment, private schools outperformed public schools to such a great extent. The researcher shall explore both parties separately to acquire reliable information to share experiences to avert the situation in public schools.

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VERSION 2 PUBLISHED 31 Oct 2023
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Kibona IE. Enhancing Gender Equity in STEM Education: A Comparative Study of the Impact of School Ownership on Female Enrollment [version 2; peer review: 2 approved with reservations]. F1000Research 2025, 12:1423 (https://doi.org/10.12688/f1000research.137430.2)
NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article.
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ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions
Version 1
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PUBLISHED 31 Oct 2023
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Reviewer Report 10 Sep 2025
Uchenna Kingsley Okeke, University of Johannesburg, Auckland Park, Gauteng, South Africa 
Approved with Reservations
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TITLE: Enhancing Gender Equity in STEM Education: A Comparative Study of the Impact of School Ownership on Females' Enrollment in STEM. (Remove the demographic information from the title. You can talk about it in the abstract and methodology.    
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Okeke UK. Reviewer Report For: Enhancing Gender Equity in STEM Education: A Comparative Study of the Impact of School Ownership on Female Enrollment [version 2; peer review: 2 approved with reservations]. F1000Research 2025, 12:1423 (https://doi.org/10.5256/f1000research.150590.r404704)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
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Reviewer Report 22 Feb 2024
María Goretti Alonso de Castro, Regional Council of Education, Alcalá de Henares, Madrid, Spain 
Approved with Reservations
VIEWS 17
While the study's objectives are clearly delineated and the methodologies are thoroughly explained, there remains a need for a clearer rationale behind the chosen analysis method. Furthermore, the study lacks an explicit discussion of its limitations and fails to address ... Continue reading
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Alonso de Castro MG. Reviewer Report For: Enhancing Gender Equity in STEM Education: A Comparative Study of the Impact of School Ownership on Female Enrollment [version 2; peer review: 2 approved with reservations]. F1000Research 2025, 12:1423 (https://doi.org/10.5256/f1000research.150590.r242769)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 13 Apr 2024
    Isack Ephraim Kibona, Department of Mathematics and Statistics, Mbeya University of Science and Technology, Mbeya, 00255, Tanzania
    13 Apr 2024
    Author Response
    The Author has responded by including a section informing limitations of the study, see an attachment. Moreover, the data involved (CSEE 2022) in the study enabled the study to reveal ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 13 Apr 2024
    Isack Ephraim Kibona, Department of Mathematics and Statistics, Mbeya University of Science and Technology, Mbeya, 00255, Tanzania
    13 Apr 2024
    Author Response
    The Author has responded by including a section informing limitations of the study, see an attachment. Moreover, the data involved (CSEE 2022) in the study enabled the study to reveal ... Continue reading

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Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
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