Keywords
STEM education, gender equity, Mbeya city of Tanzania, Private schools
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.
STEM education, gender equity, Mbeya city of Tanzania, Private schools
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
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.
| Divisions | Total | Girls | Boys |
|---|---|---|---|
| Div I | 715 | 359 | 356 |
| Div II | 569 | 270 | 299 |
| Div III | 406 | 206 | 200 |
| Div IV | 480 | 267 | 213 |
| Div 0 | 62 | 34 | 28 |
| All Students | 2232 | 1136 | 1096 |
| Divisions | Total | Girls | Boys |
|---|---|---|---|
| Div I | 280 | 83 | 197 |
| Div II | 775 | 372 | 403 |
| Div III | 926 | 457 | 117 |
| Div IV | 2896 | 1711 | 1185 |
| Div 0 | 827 | 370 | 457 |
| All students | 5704 | 2993 | 2711 |
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.
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.
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.
| Gender | Pass in Biology | Pass in Chemistry | Pass in Physics | Pass in Mathematics | Total |
|---|---|---|---|---|---|
| Girls | 1020 (1032) | 549 (544) | 393 (412) | 626 (601) | 1136 |
| Boys | 1008 (996) | 520 (525) | 417 (398) | 555 (580) | 1096 |
| Total | 2028 | 1069 | 810 | 1181 | 2232 |
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.
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 , :
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 ( ) and Alternative Hypotheses ( ):
: For the students in Mbeya city from private secondary schools, gender has no effect to pass in STEM subjects.
: For the students in Mbeya city private secondary schools, gender has effect to pass in STEM subjects.
Step 2: State the confidence interval:
Step 3: Calculate degree of freedom (df ) and state the critical value (p):
, so critical value, p = 7.81.
That is if chi-square ( ) is greater than 7.81, reject .
Step 4: Calculation of test statistic , where and , ,
Step 5: Calculation of theoretical pass expectations: Girls expected to pass biology in first cell of Table 3,
. 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, for Table 4. However, . Therefore, we reject the null hypothesis.
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.
The degree of freedom for each group is three with α =0.05 of which the collected critical value, . Computed chi-squares were for private schools 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).
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).
| Gender | Pass in mathematics | Pass in physics and mathematics | Potential PCM or PCB | Potential STEM candidates | Total |
|---|---|---|---|---|---|
| Girls | 626 | 380 | 379 | 380 | 1136 |
| Boys | 555 | 396 | 403 | 403 | 1096 |
| Total | 1181 | 776 | 782 | 783 | 2232 |
Based on the data analysis, we calculated critical value, p = 7.81 and a test statistic computed for all students’ performance in STEM subjects for private schools and for public schools. It is clear that , and . Recall the null and alternative hypothesis:
Null ( ) and Alternative Hypotheses ( ):
: For the students in Mbeya city from private/public secondary schools, gender has no influence to pass in STEM subjects.
: 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).
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.
Data used in this study are available and accessible for reproducibility. Information about public and private schools involved are all associated to Mbeya city CSEE results of 2022. Specifically, the Author used the data published by the National Examination Council of Tanzania (NECTA) from all test centers of the year 2022 (NECTA of CSEE for the year 2022).
First, I do appreciate Mbeya University of Science and Technology leadership for their strength and determination. Secondly, I do acknowledge the support in ideas by all colleagues in the Department of mathematics and statistics, to mention a few are; Mr. Justin Kisakali, Mr. Paulo Ngayekamwe and Ms. Tatu S. Irunde, who as well offered their time to work on behalf for some of the office routine activities. That gave a room for me to concentrate on writing. The whole members of the Department were willing to teach more classes, this boosted ending in small teaching load and therefore ability to write. Finally, my family support is indispensable in this task. They have been patient to all my late coming at home to ensure I am okay with this task. I must point out my youngest son, David.
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Is the work clearly and accurately presented and does it cite the current literature?
No
Is the study design appropriate and is the work technically sound?
No
Are sufficient details of methods and analysis provided to allow replication by others?
Partly
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
Partly
Are the conclusions drawn adequately supported by the results?
No
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Physics education, gender inclusivity, science pedagogy
Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
Partly
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
Partly
Are the conclusions drawn adequately supported by the results?
Partly
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Education, Technology, ICT, Educational European projects; Educational Inspection
Alongside their report, reviewers assign a status to the article:
| Invited Reviewers | ||
|---|---|---|
| 1 | 2 | |
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Version 2 (revision) 21 Oct 25 |
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Version 1 31 Oct 23 |
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