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International Women's Day highlights both women's achievements and ongoing efforts toward global gender equality. Gender disparities in science, technology, engineering, and mathematics (STEM) affect a country's innovation and ability to tackle global challenges. Therefore, recent national education policies have looked for ways to promote gender equality, particularly in the STEM subjects. One problem is that teaching materials often lack female representation and recognition of female achievements and contributions to STEM subjects, affecting how female students perceive science. The study examines how female students aged 15 to 18 are impacted by gender disparity in their physics teaching materials and what importance they place on female role models. It encompasses 20 group interviews with female students (n = 80) in Switzerland, which were analyzed using qualitative content analysis. Results show that, aside from Marie Curie, female scientists are largely unknown to female students, contributing to the perception of physics as a male domain. Female role models are crucial for fostering interest, motivation, and self-esteem in STEM subjects. However, internalized gender stereotypes and fears of negative reactions from male peers counter the demand for greater visibility of female scientists. Despite these challenges, most female students advocate for more female role models in STEM to inspire future generations of female students to pursue a STEM career and foster positive social change.

Math has a strong gender-related image, even among teachers. As teachers hold beliefs about their work, their role, their subject, and their students, they shape girls’ and boys’ mathematical beliefs and attitudes. Research during the past 20 years has shown that teachers’ gender beliefs about mathematics significantly favor boys, thereby reinforcing girls’ low math ability self-concept. Still, there is a lack of studies that examine teachers’ gender-related beliefs based on their underlying assumptions. Our study provides the first empirical evidence of the relationship between general gender stereotypes and math stereotypes. To this end, we used partial correlation and MANCOVA to analyze data from an online survey in 2019/2020 conducted in Switzerland (195 women, 80 men) as part of a cross-cultural comparison study. We therefore created a differentiated profile of prospective teachers by examining their beliefs about their self-image, their image of men and women in society, their essentialist and gender role ideology beliefs, and their math stereotypes. Then, we linked prospective teachers’ beliefs about gender (based on 48 characteristics) to their beliefs about mathematics and about girls’ and boys’ competencies in math. The extensive analysis provides knowledge about prospective teachers and is particularly important for teacher education.