STEMing together: a comparison of co-ed and all-female informal learning environments

Miriam Marie Sanders (Department of Teaching, Learning and Culture, Texas A&M University, College Station, Texas, USA)
Julia E. Calabrese (College of Education, University of Utah, Salt Lake City, Utah, USA)
Micayla Gooden (Department of Teaching, Learning and Culture, Texas A&M University, College Station, Texas, USA)
Mary Margaret Capraro (Department of Teaching, Learning and Culture, Texas A&M University, College Station, Texas, USA)

Journal of Research in Innovative Teaching & Learning

ISSN: 2397-7604

Article publication date: 7 May 2024

195

Abstract

Purpose

Research has shown that science, technology, engineering and mathematics (STEM) self-beliefs and enjoyment are critical factors for predicting female students’ persistence in STEM degrees and careers. Studies have shown the positive effects of informal STEM learning experiences on female students’ self-beliefs. However, with the rise of all-female STEM learning experiences, such as summer camps, considering the potential advantages and disadvantages of co-ed options is important. Further, prior STEM education research has focused on sex differences in students’ self-efficacy and STEM career interests. Our study aims to examine within sex differences in secondary, female students (n = 104) who attend either a co-ed STEM camp or a same-sex STEM camp.

Design/methodology/approach

To examine potential differences, we conducted independent sample t-tests.

Findings

Results of the study include statistically significant differences in mathematics and science self-efficacy as well as STEM career interest after participating in their respective camps.

Originality/value

Further, prior research in STEM education has focused on between sex differences in students’ self-efficacy and STEM career interest.

Keywords

Citation

Sanders, M.M., Calabrese, J.E., Gooden, M. and Capraro, M.M. (2024), "STEMing together: a comparison of co-ed and all-female informal learning environments", Journal of Research in Innovative Teaching & Learning, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JRIT-10-2023-0163

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Miriam Marie Sanders, Julia E. Calabrese, Micayla Gooden and Mary Margaret Capraro

License

Published in Journal of Research in Innovative Teaching & Learning. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode


Introduction

Despite efforts to balance the science, technology, engineering and mathematics (STEM) career pipeline, the underrepresentation of women remains an issue (Martinez and Christnacht, 2021). For instance, in 2019, women accounted for 48% of the general workforce but only 27% of the STEM workforce in the United States (Martinez and Christnacht, 2021). This is concerning due to the missed perspectives and values that women could offer to these fields (Heybach and Pickup, 2017). The related phenomenon, known as the leaky STEM pipeline, has been associated with the manifestation of educational debt in the form of the identity gap, as female students, on average, develop lower STEM self-efficacy, not viewing themselves as members of the STEM community (Kang et al., 2019; Nissen et al., 2021). The identity gap is heavily influenced by the masculine stereotype of STEM, which frames males as inherently more capable of understanding and succeeding in STEM fields as females (Kombe et al., 2019). Dismantling the masculine stereotype associated with STEM is critical to encouraging female students’ STEM excitement and sustained engagement (Shairpo and Sax, 2011; Valenti et al., 2016).

Additionally, students’ mathematics and science self-beliefs have been identified as a filter for STEM career aspirations (Lofgran et al., 2015; Toh and Watt, 2022; Watt et al., 2017). Although 74% of female middle school students report interest in pursuing STEM careers, this percentage diminishes by high school (Maiorca et al., 2021; Mazenko, 2016). Despite this, female students’ STEM academic achievement is comparable to that of their male counterparts (Beekman and Ober, 2015; National Science Foundation, 2018; Ross et al., 2012; Vela et al., 2020; Watt et al., 2017).

Existing research shows informal STEM learning experiences, such as after-school programs and summer camps, present promising avenues for strengthening female students’ STEM self-concept (Chapman et al., 2020; Maiorca et al., 2021; Wieselmann et al., 2020; Young et al., 2017). Further, there is a movement in research and practice examining the potential benefits of same-sex educational experiences (Bigler et al., 2014; Liben, 2015; Yabas et al., 2022). To this end, we seek to examine the potential differences between gendered, informal learning environments and female students’ mathematics self-efficacy, science self-efficacy and STEM career interest.

Literature review

Exposure to informal STEM experiences

In this study, we define informal learning experiences as any educational experiences that occur outside of the classroom (Vela et al., 2020). These include activities such as after-school programs, field trips and summer camps, which provide opportunities to transform students’ learning processes and understanding of concepts (Nite et al., 2017). One primary mission of informal STEM learning experiences is to engage students as problem solvers and provide opportunities to build students’ awareness of STEM fields (Roberts et al., 2018). Additionally, due to their flexible nature, such experiences provide students with more immersive practices and robust knowledge of STEM disciplines and careers than formal instruction (Kwon et al., 2021; Newell et al., 2015; Popovic and Lederman, 2015). Short-term informal STEM learning experiences have been shown to support students’ interest in persisting in STEM (Kitchen et al., 2018).

Factors such as peer influences and individual beliefs are especially important for female students and impact their decision to participate in both formal and informal STEM activities (Vela et al., 2020). However, informal STEM learning experiences that provide exposure to female role models and contextualized-applied learning positively affect female students’ STEM sense of belonging and persistence (Bell et al., 2017; Maiorca et al., 2021; Young et al., 2017). For instance, female students’ coding identities – an especially underrepresented domain for women – can be cultivated through recognition from experts (Hughes et al., 2021; Pinkard et al., 2017). This corroborates findings of female students’ increased dispositions towards STEM and positive identity development (Chapman et al., 2020; Donmez, 2021; Kang et al., 2019; Schilling and Pinnel, 2019). The flexibility of informal STEM learning environments affords time and space for students’ divergent thinking and collaborative solutions. To this end, researchers found improvements in STEM perceptions after participating in a STEM summer camp (Kwon et al., 2021). Thus, informal STEM learning experiences can provide benefits such as increased engagement, interest and positive identities.

Gender and STEM learning environments

Informal STEM learning environments have theoretical underpinnings in constructivism (Barak and Assal, 2018; Piaget, 2013) and social cognitive theory (Bandura, 1986; Nugent et al., 2015). In these settings, students engage with authentic, challenging problems in teams to support campers’ cognitive load and develop 21st-century skills such as collaboration, critical thinking and problem-solving (Voogt and Roblin, 2012). Thus, it is critical to consider the gendered nature and stereotypes historically surrounding STEM topics as campers engage in sociocultural co-construction of knowledge (Nissen et al., 2021; Schnittka and Schnittka, 2016; Watt et al., 2017).

Several existing studies examined the impact of co-ed versus same-sex formal and informal STEM experiences. For example, Iwuanyanwu (2022) found that female students in single-sex schools had higher attitudes toward science than their counterparts in coed schools. Schilling and Pinnel (2019) found that single-sex engineering camps had a greater positive effect on female campers’ self-efficacy through activities allowing campers to take risks, such as project-based learning (PBL) tasks. Additionally, Schnittka and Schnittka’s (2016) discourse analysis found that same-sex teams of females displayed the most group-oriented language solidarity, although females in co-ed teams made higher engineering post-test gains. However, there is a dearth of literature regarding direct comparisons between co-ed and same-sex informal STEM learning experiences.

Mathematics as a critical filter

Variables such as mathematics perception, mathematics self-beliefs, mathematics self-efficacy and mathematics anxiety are salient to students’ persistence not only in mathematics classes but also in mathematics-intensive or associated careers (Jiang et al., 2020; Kwon et al., 2021; Watt et al., 2017). For instance, seventh- and ninth-grade students with higher mathematical self-efficacy demonstrated statistically significantly higher knowledge of STEM careers (Blotnicky et al., 2018). Similarly, middle school students’ aspirations of becoming scientists can be predicted by self-reported creative tendencies varying in degree by biological sex and dispositions towards mathematics, science and engineering (Knezek, 2015). Specifically, mathematics self-concept or performance was especially important for female students regarding STEM career interests (Watt et al., 2017). In terms of informal learning, researchers found an association between secondary students’ mathematical problem-solving beliefs and changes in STEM career perceptions (p < 0.05) at a STEM summer camp (Kwon et al., 2021). Due to the limited empirical evidence examining students’ perceptions of mathematics and STEM careers in informal STEM learning environments, our study seeks to further analyze the relationship and determine if co-ed or same-gender environments act as moderators.

Historically, mathematics achievement has been viewed as a measure of innate ability. Sells (1980) described mathematics as a “critical filter” due to concerns regarding female students’ low enrollment and achievement in advanced mathematics courses. Other researchers have stated that mathematics as a critical filter corresponds to perceptions of the field as a gatekeeper to high-status, high-income careers (Watt and Eccles, 2006; Watt et al., 2017). Important to note is that the ratio of males to females at age 13 who score above a 700 on the Scholastic Aptitude Test (SAT) mathematics exam has changed from 13:1 to 3:1 between 1980 and 2010 (Benbow and Stanley, 1983; Brody and Mills, 2005; Halpern et al., 2007). Additionally, the raw number of female students identified as mathematically gifted has increased (Hill et al., 2010). Even still, research has demonstrated a persistent disparity between male and female students’ perceptions of mathematics and mathematics self-beliefs (Gagnon and Sandoval, 2020; Hutchinson et al., 2019). For instance, male students in second grade self-report positive mathematics self-beliefs prior to any performance differences from their female counterparts, who already demonstrate a decrease in mathematical self-belief as early as third grade (American Association of University Women, 2022).

Science and STEM persistence

Science and engineering are similar to mathematics in the importance of identity in pursuing these fields. First and foremost, authority figures’ recognition of female students’ abilities in STEM fields connects to the quality of their experiences (Calabrese Barton et al., 2013; Tan et al., 2013). Many students see science as a difficult subject (Archer et al., 2010); however, due to lack of support or even dismissal from teachers, pursuing a career in science may seem especially unattainable to female students and those in underrepresented groups (Tan et al., 2013). Furthermore, like math, students often believe that interest or ability in science is naturally determined (Archer et al., 2010) rather than fostered. Researchers estimate that if more schools encouraged female students to study fields like science and engineering, the gender gap for students pursuing STEM post-secondary degrees could be reduced by 25% (Legewie and DiPrete, 2014).

There exists a need for an overall rebranding of how STEM content is portrayed to young learners. For example, to many, science is perceived as a masculine subject. This is true even in countries where there is overall gender equity or an equivalent number of males and females studying and working in science (Miller et al., 2015). As early as elementary school, male students view themselves as more confident in their science abilities (Archer et al., 2010; Redmond et al., 2011). Similarly, by secondary school, many students perceive mathematics as more masculine than feminine (Brandell and Staberg, 2008). Furthermore, there exists a general disconnect between content offered in schools and “real” science (Archer et al., 2010; Tan et al., 2013) or mathematics (Garcia et al., 2006), potentially impacting a student’s decision to pursue STEM outside of school. A rebranding of science and engineering to include creative qualities such as artistic skills can potentially increase female interest in these subjects (Schilling and Pinnell, 2019; Tan et al., 2013). Informal learning environments can help contribute to this notion of rebranding by providing students with female STEM role models, leadership opportunities (Redmond et al., 2011) and creative outlets (Tan et al., 2013).

Method

We examined the relationship between gendered, informal learning environments and female campers’ mathematics and science self-efficacy and their interests in STEM careers by examining the following hypotheses:

H1.

There is no difference between mean post-math self-efficacy for campers who attended co-ed and same-sex camps.

H2.

There is no difference between mean post-science self-efficacy for campers who attended co-ed and same-sex camps.

H3.

There is no difference between mean post-STEM career interest for campers who attended co-ed and same-sex STEM camps.

Participants and setting

This study took place at a STEM summer camp program at a large university in the southwestern United States in the summer of 2021 and the summer of 2022. We used a subset of data collected from n = 8 of the residential summer camps (n = 6 co-ed camps and n = 2 same-sex camps). Participants’ biological sex was determined by camper enrollment, which was completed by the campers and their guardians. The same-sex camps were all female, with a mix of middle and high school campers. Two of the co-ed camps were solely dedicated to middle school campers, while four camps were designated for high school campers. Each co-ed camp had primarily male enrollment, with female campers making up less than a third of each camp’s enrollment. Our study only used data collected from the female campers (Table 1).

Procedures

The residential summer camps were each one week long with the campers rooming with their same-sex peers. Individual camp sessions included both middle and high school students. Each residential camp provided immersive experiences and exposure to potential STEM careers through PBL, lab tours and panel sessions. Classes included basic coding, Python, chemistry, geology, entrepreneurship using a shark tank model, civil engineering through bridge building, rainforests with building a model crane for collecting data through a forest canopy, statistics, oceanography, engineering world challenges, programing microcontrollers, sewing wearable LEDs, cosmetic and food chemistry, egg drop, solar houses, designing roller coasters using principles of physics, trebuchets, banking and stock market trends, and thinking outside the box – designing furniture for rooms. Campers attended three courses per day on the university campus and toured university facilities with professors and their research teams. Panel sessions provided campers with direct access to STEM university students, researchers and professionals from a variety of careers (e.g. aerospace engineering, data science, oceanography). Representatives from the university, such as housing directors, financial aid office, admissions and academic advisors were invited to speak to the campers. Students also went on tours of various university plants (electrical, water, transportation and power), research centers (wind tunnel, vet med, engineering design center, nuclear engineering) and many other facilities. In the evenings, students would participate in games, sports, movies, swimming and bowling. On weekends, students visited local spaces like the animal park, aquatic center and entertainment center (arcade, mini-golf and laser tag). However, the same-sex, all-female camp immersed campers in an all-female camp environment explicitly with female instructors, counselors and panel discussants.

Measures

Researchers used the following scales to examine students’ mathematics and science self-efficacy and their STEM career interests after participating in the summer camps. To collect data, researchers, with the assistance of camp counselors, circulated Quick Response (QR) codes to each camper to take online Qualtrics surveys on the first and last days of camp.

Student attitudes toward STEM

Campers responded to Faber et al.’s (2013) student attitudes toward STEM survey regarding their attitudes and self-beliefs toward STEM subjects. Students responded to prompts using a sliding scale from strongly disagree (zero) to strongly agree (100). We use a subset of the thirty-question survey to examine students’ mathematics and science self-efficacy (Tables 2 and 3). In this study, math self-efficacy items had a reliability of ɑ = 0.97, and the science self-efficacy items had a reliability of ɑ = 0.94.

STEM career interest

Campers responded to Tyler-Wood et al.’s (2010) STEM career interest questionnaire regarding their intent to utilize their STEM knowledge and skills as well as their motivation and interest in pursuing a STEM career. To examine campers’ STEM career interests, we use the questionnaire in Table 4. The campers used a sliding scale from strongly disagree (zero) to strongly agree (100) to respond to the prompts. In this study, the six items have a strong reliability of ɑ = 0.90.

Analysis

Before analyzing post-camp survey data, we compared pre-camp mathematics self-efficacy, science self-efficacy and STEM career interest using a two-independent sample t-test in STATA 18.0. No statistically significant differences in precamp survey results existed between participants attending the all-female and co-ed camps for the three outcomes of interest (p > 0.05). Therefore, we proceeded to test the hypotheses by comparing participants’ post-mathematics self-efficacy, science self-efficacy, and STEM career interest across camp types (e.g. same-sex) using two-independent sample t-tests. Effect sizes for the t-tests were calculated using ω2 due to the small sample size.

Findings

Our examination of middle and high school female students revealed that students who attended STEM camp overall reported moderate mathematics (M = 58.80, Standard Deviation (SD) = 38.50) and science (M = 58.60, SD = 36.50) self-efficacy on average. Despite reporting moderate mathematics and science self-efficacy across co-ed and same-sex camps, students reported high STEM career interest (M = 78.10, SD = 24.40). Figure 1 illustrates the comparison of mathematics and science self-efficacy and STEM career interest averages across and between camp types.

The results of our analysis indicated statistically significant differences between the camp types (Table 5). For Hypothesis 1, there was a statistically significant difference of 21.70 in mean mathematics self-efficacy between campers in co-ed and same-sex camps (df = 95, t = 2.864, 95% CI[0.51, 20.40]) post-STEM camp. In regard to campers’ post-science self-efficacy, there was also a statistically significant difference (df = 95, t = 2.864, p < 0.01) between co-ed (M = 71, SD = 31.30) and same-sex (M = 48.30, SD = 37.50) camps. Furthermore, there was a statistically significant difference of 10.43 (df = 91, t = 2.087, 95%CI[0.51, 20.40]) in post-STEM career interest between co-ed and same-sex camps.

Discussion

The leaky STEM pipeline is associated with females' low self-esteem in STEM, or the identity gap. The identity gap contributes to the masculine stereotype of STEM fields (Kang et al., 2019; Nissen et al., 2021). As educators seek to address this critical issue, it is paramount to continue examining the effect of gendered learning environments in STEM fields and its potential impact on the identity gap. In this study, we specifically examine middle and high school students’ mathematics and science self-efficacy as well as interest in STEM careers due to the significant influence these factors have on female students’ persistence in STEM education through advanced courses, pursuing STEM degrees and pursuing STEM careers after university (Bell et al., 2017; Jiang et al., 2020; Kwon et al., 2021; Maiorca et al., 2021). Furthermore, factors such as peer influences and individual beliefs are salient to female students’ STEM disposition and their decision to participate in STEM activities (Vela et al., 2020). To this end, we investigated potential differences in student outcomes in all female and co-ed STEM camps.

Providing female students with opportunities to experience STEM learning has shown promise in strengthening women in STEM self-concept which has been shown to improve STEM persistence (Chapman et al., 2020; Maiorca et al., 2021; Wieselmann et al., 2020; Young et al., 2017). These experiences are also essential in increasing female student’s engagement in STEM fields as well as working towards mitigating the historical effects of the masculine stereotype in STEM fields. The present study examined the relationship between informal STEM learning environments and female students’ mathematics self-efficacy, science self-efficacy and STEM career interest.

We analyzed three hypotheses to examine the relationship between gendered informal learning environments and female campers’ mathematics and science self-efficacy and their interests in STEM careers. In addressing Hypothesis 1, stating there is no difference between mean post-science self-efficacy for campers who attended co-ed and same-sex camps, the results of this study supported rejecting the hypothesis due to a statistically significant difference between co-ed and same-sex camps. Interestingly, despite the same-sex camps providing female students with a plethora of STEM role models and creative science opportunities in an all-female environment, female students who attended the co-ed camp reported a higher science self-efficacy. Similarly, the analysis for Hypothesis 2 comparing post-mathematics self-efficacy between same-sex and co-ed camps also showed a statistically significant difference. Our analyses focused on differences between female students’ outcomes; however, prior research has shown higher confidence in science (Archer et al., 2010; Redmond et al., 2011) and mathematics self-efficacy (American Association of University Women, 2022; Gagnon and Sandoval, 2020; Hutchinson et al., 2019) for male students. Further investigation of the interpersonal experiences in the same-sex and co-ed STEM camps which inform students’ self-efficacy.

Of note, our findings indicate that despite differences in science and mathematics self-efficacy, both groups of female students reported high (statistically significantly different) STEM career interests after participating in their respective camps. Contrasting to traditional schooling, informal STEM learning experiences such as summer camps provide students with the opportunity for deeper, sustained inquiry and diverse, hands-on exposure to STEM disciplines and careers (Kwon et al., 2021). The results from our study further support Kwon et al. (2021) due to the high interest that students express in STEM careers after exposure to STEM role models and mentors from various careers.

Conclusion

Despite the closing achievement gap between female and male students in STEM, attending to students’ STEM self-beliefs and enjoyment is critical to address female students’ persistence into STEM degrees and careers. Prior research has shown the positive effects of informal STEM learning experiences on female students’ self-beliefs (Young et al., 2017). However, with the rise of all-female STEM learning experiences such as camps, considering the potential advantages and disadvantages to co-ed options is of importance. Although our study includes a small, niche sample of female students who chose to spend time out of their summer at an educational camp, it provides a description of the differences in student outcomes. Our results indicate statistically significant differences in mathematics and science self-efficacy and STEM career interest between female students who participated in co-ed and same-sex residential STEM camps. This result highlights the gendered dynamics of informal STEM learning and potential differences in the effects of learning environments.

While there is a dearth of literature that specifically compares co-ed and same-sex informal STEM learning experiences, our results are aligned with the previous studies attributing the positive effects on self-efficacy of female campers when engaging in informal STEM experiences (Schilling and Pinnel, 2019). Our study contributes to the literature by highlighting, with sex variation in mathematics self-efficacy between STEM camp typestype (i.e. same sex, co-ed). Future research may examine students’ rationale for choice of informal STEM learning environment to help explain differences in student outcomes. For instance, investigating whether female students who are more reticent in STEM select all-female learning experiences may be a critical factor for nurturing their self-beliefs over an extended period of time.

Due to our limited sample, further research is required to comprehensively analyze student outcomes for gendered informal STEM learning experiences. Moreover, future research may examine female students in same-sex and co-ed informal STEM learning environments longitudinally. This study utilizes data from weeklong residential camps. Investigating differences in self-efficacy and STEM career interest over a longer period of sustained engagement with the learning environment may yield more comprehensive results to inform efforts to retain female students in STEM. Furthermore, capturing qualitative data such as student interviews and reflections would help explain the influence of all female and co-ed STEM learning experiences. Finally, examining the intersectionality of other student characteristics such as race, socioeconomic status, and prior STEM achievement in combination with the same-sex and co-ed learning environments would help provide nuance to the complexity of supporting female student persistence in STEM fields.

Figures

Bar graph of averages overall and across camp type

Figure 1

Bar graph of averages overall and across camp type

Demographics of study sample

FactorTotalPercent (%)
N104
Year
20215654
20224846
Camp
Co-ed4846
Same-sex5654
Grade-level
Middle school (Grades 6–8)5250
High school (Grades 9–12)5250

Source(s): Author’s own work

Math self-efficacy for the student attitudes towards STEM survey

Item No.Item
6I am the type of student to do well in math
7I am sure I could do advanced work in math
8I can get good grades in math
9I am good at math

Source(s): Items from Faber et al. (2013)

Science self-efficacy for the student attitudes towards STEM survey

Item No.Item
10I am sure of myself when I do science
15I know I can do well in science
18I am sure I could do advanced work in science

Source(s): Items from Faber et al. (2013)

STEM career interest for the STEM career interest questionnaire

Item No.Item
1I plan to use STEM knowledge/skills in my future career
2I learned about new STEM knowledge/skills in camp that will help me in school next year
3If I do well in STEM classes, it will help me in my future career
4If I learn a lot about STEM, I will be able to pursue lots of different types of STEM careers
9I am interested in careers that use STEM
10Learning STEM in a school, classroom or activity (camp) motivated me to pursue a STEM career

Source(s): Items from Tyler-Woods et al. (2010)

Two-tailed independent sample t-test results

Co-eDSame-sex 95% CI
NMSDNMSDdfΔ MΔ SEt-scoreLLULω2
Post-STEM career interest4283.8022.005173.4025.509110.435.002.087*0.5120.400.04
Mathematics self-efficacy4470.6034.305348.9039.409521.707.582.864**6.6636.700.07
Science self-efficacy4471.0031.305348.3037.509522.717.113.195**8.6036.800.09

Note(s): ***p < 0.001, **p < 0.01, and *p < 0.05

Source(s): Author’s own work

References

American Association of University Women (2022), “The STEM gap: women and girls in science, technology, engineering, and mathematics”, available at: https://www.aauw.org/resources/research/the-stem-gap/

Archer, L., DeWitt, J., Osborne, J., Dillon, J., Willis, B. and Wong, B. (2010), “‘Doing’ science versus ‘being’ a scientist: examining 10/11-year-old schoolchildren's constructions of science through the lens of identity”, Science Education, Vol. 94 No. 4, pp. 617-639, doi: 10.1002/sce.20399.

Bandura, A. (1986), Social Foundations of Thought and Action: A Social Cognitive Theory, Prentice-Hall, Englewood Cliffs, New Jersey.

Barak, M. and Assal, M. (2018), “Robotics and STEM learning: students' achievements in assignments according to the P3 Task Taxonomy—practice, problem solving, and projects”, International Journal of Technology and Design Education, Vol. 28 No. 1, pp. 121-144, doi: 10.1007/s10798-016-9385-9.

Beekman, J.A. and Ober, D. (2015), “Gender gap trends on mathematics exams position girls and young women for STEM Careers”, School Science and Mathematics, Vol. 115 No. 1, pp. 35-50, doi: 10.1111/ssm.12098.

Bell, P., Van Horne, K. and Cheng, B.H. (2017), “Special Issue: designing learning environments for equitable disciplinary identification”, Journal of the Learning Sciences, Vol. 26 No. 3, pp. 367-375, doi: 10.1080/10508406.2017.1336021.

Benbow, C.P. and Stanley, J.C. (1983), “Sex differences in mathematical reasoning ability: more facts”, Science, Vol. 222 No. 4627, pp. 1029-1031, doi: 10.1126/science.6648516.

Bigler, R.S., Hayes, A.R. and Liben, L.S. (2014), “Analysis and evaluation of the rationales for single-sex schooling”, Advances in Child Development and Behavior, Vol. 47, pp. 225-260, doi: 10.1016/bs.acdb.2014.05.002.

Blotnicky, K.A., Franz-Odendaal, T., French, F. and Joy, P. (2018), “A study of the correlation between STEM career knowledge, mathematics self-efficacy, career interests, and career activities on the likelihood of pursuing a STEM career among middle school students”, International Journal of STEM Education, Vol. 5 No. 22, doi: 10.1186/s40594-018-0118-3.

Brandell, G. and Staberg, E.M. (2008), “Mathematics: a female, male or gender-neutral domain? A study of attitudes among students at secondary level”, Gender and Education, Vol. 20 No. 5, pp. 495-509, doi: 10.1080/09540250701805771.

Brody, L.E. and Mills, C.J. (2005), “Talent search research: what have we learned?”, High Ability Studies, Vol. 16 No. 1, pp. 97-111, doi: 10.1080/13598130500115320.

Calabrese Barton, A., Kang, H., Tan, E., O'Neill, T.B., Bautista-Guerra, J. and Brecklin, C. (2013), “Crafting a future in science: tracing middle school girls' identity work over time and space”, American Educational Research Journal, Vol. 50 No. 1, pp. 37-75, doi: 10.3102/0002831212458142.

Chapman, A., Rodriguez, F.D., Pena, C., Hinojosa, E., Morales, L., Del Bosque, V., Tijerina, Y. and Tarawneh, C. (2020), “‘Nothing is impossible’: characteristics of Hispanic females participating in an informal STEM setting”, Cultural Studies of Science Education, Vol. 15 No. 3, pp. 723-737, doi: 10.1007/s11422-019-09947-6.

Donmez, I. (2021), “Impact of out-of-school STEM activities on STEM career choices of female students”, Eurasian Journal of Educational Research, Vol. 91, pp. 173-203, doi: 10.14689/ejer.2021.91.9.

Faber, M., Unfried, A., Wiebe, E.N., Corn, J., Townsend, L.W. and Colins, T.L. (2013), “Student attitudes toward STEM: the development of upper elementary school and middle/high school student surveys”, Proceedings of the 120th ASEE Annual Conference and Exposition.

Gagnon, R.J. and Sandoval, A. (2020), “Pre-college STEM camps as developmental context: mediational relations between gender, career decidedness, socioemotional development, and engagement”, Children and Youth Services Review, Vol. 108, 104584, doi: 10.1016/j.childyouth.2019.104584.

Garcia, F.J., Pérez, J.G., Higueras, L.R. and Casabó, M.B. (2006), “Mathematical modelling as a tool for the connection of school mathematics”, ZDM, Vol. 38, pp. 226-246, doi: 10.1007/BF02652807.

Halpern, D.F., Benbow, C.P., Geary, D.C., Gur, R.C., Hyde, J.S. and Gernsbacher, M.A. (2007), “The science of sex differences in science and mathematics”, Psychological Science in the Public Interest, Vol. 8 No. 1, pp. 1-51, doi: 10.1111/j.1529-1006.2007.00032.x.

Heybach, J. and Pickup, A. (2017), “Whose STEM? Disrupting the gender crisis within STEM”, Educational Studies, Vol. 53 No. 6, pp. 614-627, doi: 10.1080/00131946.2017.1369085.

Hill, C., Corbett, C. and St Rose, A. (2010), Why So Few? Women in Science, Technology, Engineering, and Mathematics, American Association of University Women, Washington, DC.

Hughes, R., Schellinger, J. and Roberts, K. (2021), “The role of recognition in disciplinary identity for girls”, Journal of Research in Science Teaching, Vol. 58 No. 3, pp. 420-455, doi: 10.1002/tea.21665.

Hutchinson, J.E., Lyons, I.M. and Ansari, D. (2019), “More similar than different: gender differences in children's basic numerical skills are the exception not the rule”, Child Development, Vol. 90 No. 1, pp. e66-e79, doi: 10.1111/cdev.13044.

Iwuanyanwu, P.N. (2022), “Is science really for me? Gender differences in student attitudes toward science”, School Science and Mathematics, Vol. 122 No. 5, pp. 259-270, doi: 10.1111/ssm.12541.

Jiang, S., Simpkins, S.D. and Eccles, J.S. (2020), “Individuals' math and science motivation and their subsequent STEM choices and achievement in high school and college: a longitudinal study of gender and college generation status differences”, Developmental Psychology, Vol. 56 No. 11, pp. 2137-2151, doi: 10.1037/dev0001110.

Kang, H., Calabrese Barton, A., Tan, E., Simpkins, S., Rhee, H. and Turner, C. (2019), “How do middle school girls of color develop STEM identities? Middle school girls' participation in science activities and identification with STEM careers”, Science Education, Vol. 103 No. 2, pp. 418-439, doi: 10.1002/sce.21492.

Kitchen, J.A., Sonnert, G. and Sadler, P.M. (2018), “The impact of college-and university-run high school summer programs on students' end of high school STEM career aspirations”, Science Education, Vol. 102 No. 3, pp. 529-547, doi: 10.1002/sce.21332.

Knezek, G. (2015), “Gender differences in conceptualizations of STEM career interest: complementary perspectives from data mining, multivariate data analysis and multidimensional scaling”, Journal of STEM Education, Vol. 16 No. 4, pp. 13-19.

Kombe, D., Che, S.M. and Bridges, W. (2019), “Students' gendered perceptions of mathematics in middle grades single-sex and coeducational classrooms”, School Science and Mathematics, Vol. 119 No. 7, pp. 417-427, doi: 10.1111/ssm.12363.

Kwon, H., Capraro, R.M. and Capraro, M.M. (2021), “When I believe, I can: success STEMs from my perceptions”, Canadian Journal of Science, Mathematics, and Technology Education, Vol. 21 No. 1, pp. 67-85, doi: 10.1007/s42330-020-00132-4.

Legewie, J. and DiPrete, T.A. (2014), “The high school environment and the gender gap in science and engineering”, Sociology of Education, Vol. 87 No. 4, pp. 259-280, doi: 10.1177/0038040714547770.

Liben, L.S. (2015), “Probability values and human values in evaluating single-sex education”, Sex Roles, Vol. 72, pp. 401-426, doi: 10.1007/s11199-014-0438-9.

Lofgran, B.B., Smith, L.K. and Whiting, E.F. (2015), “Science self-efficacy and school transitions: elementary school to middle school, middle school to high school”, School Science and Mathematics, Vol. 115 No. 7, pp. 366-376, doi: 10.1111/ssm.12139.

Maiorca, C., Roberts, T., Jackson, C., Bush, S., Delaney, A., Mohr-Schroeder, M.J. and Soledad, Y.S. (2021), “Informal learning environments and impact on interest in STEM careers”, International Journal of Science and Mathematics Education, Vol. 19 No. 1, pp. 45-64, doi: 10.1007/s10763-019-10038-9.

Martinez, A. and Christnacht, C. (2021), Women Making Gains in STEM Occupations but Still Underrepresented, United States Census Bureau, available at: https://www.census.gov/library/stories/2021/01/women-making-gains-in-stem-occupations-but-still-underrepresented.html

Mazenko, E. (2016), Encouraging Girls (K-12) to Study STEM, National Girls Collaborative Project, available at: https://ngcproject.org/resources/encouraging-girls-k-12-study-stem

Miller, D.I., Eagly, A.H. and Linn, M.C. (2015), “Women's representation in science predicts national gender-science stereotypes: evidence from 66 nations”, Journal of Educational Psychology, Vol. 107 No. 3, pp. 631-644, doi: 10.1037/edu0000005.

National Science Foundation (2018), Science and Engineering Indicators 2018, available at: https://www.nsf.gov/statistics/2018/nsb20181/report

Newell, A.D., Zientek, L.R., Tharp, B.Z., Vogt, G.L. and Moreno, N.P. (2015), “Students' attitudes toward science as predictors of gains on student content knowledge: benefits of an after-school program”, School Science and Mathematics, Vol. 115 No. 5, pp. 216-225, doi: 10.1111/ssm.12125.

Nissen, J.M., Horses, I.H.M. and Van Dusen, B. (2021), “Investigating society's educational debts due to racism and sexism in student attitudes in physics using quantitative critical race theory”, Physical Review Physics Education Research, Vol. 17 No. 1, 010116, doi: 10.1103/PhysRevPhysEducRes.17.010116.

Nite, S.B., Capraro, M.M., Capraro, R.M. and Bicer, A. (2017), “Explicating the characteristics of STEM teaching and learning: a metasynthesis”, Journal of STEM Teacher Education, Vol. 52 No. 1, pp. 31-53, doi: 10.30707/JSTE52.1Nite.

Nugent, G., Barker, B., Welch, G., Grandgenett, N., Wu, C.R. and Nelson, C. (2015), “A model of factors contributing to STEM learning and career orientation”, International Journal of Science Education, Vol. 37 No. 7, pp. 1067-1088, doi: 10.1080/09500693.2015.1017863.

Piaget, J. (2013), The Moral Judgment of the Child, Routledge, London.

Pinkard, N., Erete, S., Martin, C.K. and McKinney de Royston, M. (2017), “Digital youth divas: exploring narrative-driven curriculum to spark middle school girls' interest in computational activities”, Journal of the Learning Sciences, Vol. 26 No. 3, pp. 477-516, doi: 10.1080/10508406.2017.1307199.

Popovic, G. and Lederman, J.S. (2015), “Implications of informal education experiences for mathematics teachers' ability to make Connections beyond the formal classroom”, School Science and Mathematics, Vol. 115 No. 3, pp. 129-140, doi: 10.1111/ssm.12114.

Redmond, A., Thomas, J., High, K., Scott, M., Jordan, P. and Dockers, J. (2011), “Enriching science and math through engineering”, School Science and Mathematics, Vol. 111 No. 8, pp. 399-408, doi: 10.1111/j.1949-8594.2011.00105.x.

Roberts, T., Jackson, C., Mohr-Schroeder, M.J., Bush, S.B., Maiorca, C., Cavalcanti, M., Craig Schroeder, D., Delaney, A., Putnam, L. and Cremeans, C. (2018), “Students' perceptions of STEM learning after participating in a summer informal learning experience”, International Journal STEM Education, Vol. 5 No. 35, 35, doi: 10.1186/s40594-018-0133-4.

Ross, J.A., Scott, G. and Bruce, C.D. (2012), “The gender confidence gap in fractions knowledge: gender differences in student belief-achievement relationships”, School Science and Mathematics, Vol. 112 No. 5, pp. 278-288, doi: 10.1111/j.1949-8594.2012.00144.x.

Schilling, M. and Pinnell, M. (2019), “The STEM gender gap: an evaluation of the efficacy of women in engineering camps”, Journal of STEM Education: Innovations and Research, Vol. 20 No. 1, pp. 37-45, doi: 10.18260/1-2--31126.

Schnittka, J. and Schnittka, C. (2016), “‘Can I drop it this time?’ Gender and collaborative group dynamics in an engineering design-based afterschool program”, Journal of Pre-college Engineering Education Research, Vol. 6 No. 2, pp. 1-24, doi: 10.7771/2157-9288.1120.

Sells, L.W. (1980), “Mathematics: the invisible filter”, Engineering Education, Vol. 70, pp. 340-341, doi: 10.1007/s11199-016-0711-1.

Shairpo, C.A. and Sax, L.J. (2011), “Major selection and persistence for women in STEM”, New Directions for Institutional Research, Vol. 152, pp. 5-18, doi: 10.1002/ir.404.

Tan, E., Calabrese Barton, A., Kang, H. and O'Neill, T. (2013), “Desiring a career in STEM-related fields: how middle school girls articulate and negotiate identities in-practice in science”, Journal of Research in Science Teaching, Vol. 50 No. 10, pp. 1143-1179, doi: 10.1002/tea.21123.

Toh, L. and Watt, H.M.G. (2022), “How do adolescent mathematical self-concept and values explain attainment of different kinds of STEM degrees in adulthood”, Contemporary Educational Psychology, Vol. 69, 102057, doi: 10.1016/j.cedpsych.2022.102057.

Tyler-Wood, T., Knexek, G. and Christensen, R. (2010), “Instruments for assessing interest in STEM content and careers”, Journal of Technology and Teacher Education, Vol. 18 No. 2, pp. 341-363.

Valenti, S.S., Masnick, A.M., Cox, B.D. and Osman, C.J. (2016), “Adolescents' and emerging adults' implicit attitudes about STEM careers: ‘Science is not creative’”, Science Education International, Vol. 27 No. 1, pp. 40-58.

Vela, K.N., Pederson, R.M. and Baucum, M.N. (2020), “Improving perceptions of STEM careers through informal learning environments”, Journal of Research in Innovative Teaching and Learning, Vol. 13 No. 1, pp. 103-113, doi: 10.1108/JRIT-12-2019-0078.

Voogt, J. and Roblin, N.P. (2012), “A comparative analysis of international frameworks for 21st-century competences: implications for national curriculum policies”, Journal of Curriculum Studies, Vol. 44 No. 3, pp. 299-321, doi: 10.1080/00220272.2012.668938.

Watt, H.M. and Eccles, J.S. (2006), “Preface to the special issue”, Educational Research and Evaluation, Vol. 12 No. 4, pp. 295-296, doi: 10.1080/13803610600765430.

Watt, H.M.G., Hyde, J.S., Petersen, J., Morris, Z.A., Rozek, C.S. and Harackiewicz, J.M. (2017), “Mathematics: a critical filter for STEM-related career choices? A longitudinal examination among Australian and U.S. adolescents”, Sex Roles, Vol. 77 Nos 3-4, pp. 254-271, doi: 10.1007/s11199-016-0711-1.

Wieselmann, J.R., Roehrig, G.H. and Kim, J.N. (2020), “Who succeeds in STEM? Elementary girls' attitudes and beliefs about self and STEM”, School Science and Mathematics, Vol. 120 No. 5, pp. 233-244, doi: 10.1111/ssm.12407.

Yabas, D., Kurutas, B.S. and Corlu, M.S. (2022), “Empowering girls in STEM: impact of the girls meet science project”, School Science and Mathematics, Vol. 122 No. 5, pp. 247-258, doi: 10.1111/ssm.12540.

Young, J.R., Ortiz, N. and Young, J.L. (2017), “STEMulating interest: a meta-analysis of the effects of out-of-school time on student STEM interest”, International Journal of Education in Mathematics, Science and Technology, Vol. 5 No. 1, pp. 62-74, doi: 10.18404/ijemst.61149.

Further reading

Capraro, R.M., Capraro, M.M. and Morgan, J. (Eds) (2013), Project-based Learning: an Integrated Science, Technology, Engineering, and Mathematics (STEM) Approach, 2nd ed., Sense.

Acknowledgements

The authors gratefully acknowledge the support and access to data given by the Aggie STEM Co-Directors: Drs Luciana Barroso, Mary Margaret Capraro, Robert M. Capraro, and Jamaal Young.

Corresponding author

Miriam Marie Sanders can be contacted at: miriamsanders17@gmail.com

Related articles