By Larissa Vingilis-Jaremko, PhD
Women make up less than 25% of STEM workers and less than 8% of trades workers in Canada.1 Why does this gender gap exist?
Women, girls, and gender-diverse people face structural and systemic barriers that impact decisions to take STEM courses, enter STEM postsecondary programs, and continue working in STEM fields. Efforts to close the gender gap must cover the lifespan to address different barriers experienced at different life, educational, and career stages.
It Starts Early in Life
Children are inundated with stereotypical portrayals of STEM professionals that play a strong role in shaping their perceptions of STEM professionals.2, 3, 4, 5
These societal stereotypes affect children’s interests, and their exposure to STEM.6, 7, 8
Societal stereotypes also affect adult evaluations of children’s competence in STEM. For example, adults tend to provide less scientific information when teaching girls compared to boys, and perceive girls to be less competent in STEM than boys.8, 9
These adult behaviours limit girls’ exposure to STEM topics, and send messages to girls that they are not good at STEM. These effects can be compounded by intersectional identity factors like race, disability, and more.
Stereotypes associating male with STEM are so powerful, they predict children’s and adolescents’ interest and intention to pursue a STEM degree.6, 10
However, a great deal of evidence demonstrates that stereotypes can be broken and interest in pursuing STEM can increase.
CAGIS follows the science of breaking barriers for underrepresented youth in STEM, and uses evidence-based methods to build networks of girls and gender-diverse youth in STEM to interact with each other, STEM role models11, 12, and mentors in small group, supportive environments13, 14. These networks create spaces where being a girl or gender-diverse youth in STEM is the norm, rather than the exception.
Importantly, CAGIS programs provide long-term repeated STEM opportunities (shown to increase STEM interest15), and exposure to diverse topics15 with hands-on experiences16, 17, 18 led by diverse STEM Role Models. We do this with an intersectional lens, considering multiple identity factors and barriers participants may be facing.
These evidence-based methods work! Ninety-four percent of our graduates report (according to 2017 and 2022 surveys) that they are studying or working in STEM fields. In open-ended responses, most attributed their career trajectories to CAGIS; many discovered their careers at CAGIS events! Learn more about our impact here.
To get involved with CAGIS, learn about ways to donate, volunteer, and partner.
To register a youth in our programs, learn about CAGIS Chapters and CAGIS Virtual.
- Statistics Canada. (2023, January 6). Table 14-10-0335-02: Proportion of women and men employed in occupations, annual (inactive) [Data table]. Government of Canada. https://doi.org/10.25318/1410033501-eng
- Cheryan, S., Plaut, V. C., Handron, C., & Hudson, L. (2013). The stereotypical computer scientist: Gendered media representations as a barrier to inclusion for women. Sex roles, 69(1), 58-71.
- Sweet, E. (2014). Toys are more divided by gender now than they were 50 years ago. The Atlantic, 9, 2014.
- Miller, D. I., Nolla, K. M., Eagly, A. H., & Uttal, D. H. (2018). The development of children’s gender‐science stereotypes: A meta‐analysis of 5 decades of US Draw‐a‐Scientist studies. Child development, 89(6), 1943-1955.
- Tan, A. L., Jocz, J. A., & Zhai, J. (2017). Spiderman and science: How students’ perceptions of scientists are shaped by popular media. Public Understanding of Science, 26(5), 520-530.
- Master, A., Meltzoff, A. N., & Cheryan, S. (2021). Gender stereotypes about interests start early and cause gender disparities in computer science and engineering. Proceedings of the National Academy of Sciences, 118(48), e2100030118.
- Alexander, J. M., Johnson, K. E., & Kelley, K. (2012). Longitudinal analysis of the relations between opportunities to learn about science and the development of interests related to science. Science Education, 96(5), 763-786.
- Newall, C., Gonsalkorale, K., Walker, E., Forbes, G. A., Highfield, K., & Sweller, N. (2018). Science education: Adult biases because of the child’s gender and gender stereotypicality. Contemporary Educational Psychology, 55, 30-41.
- Holder, K., & Kessels, U. (2017). Gender and ethnic stereotypes in student teachers’ judgments: A new look from a shifting standards perspective. Social psychology of education, 20(3), 471-490.
- Aidy, C. L., Steele, J. R., Williams, A., Lipman, C., Wong, O., & Mastragostino, E. (2021). Examining adolescent daughters’ and their parents’ academic-gender stereotypes: Predicting academic attitudes, ability, and STEM intentions. Journal of Adolescence, 93, 90-104.
- Bodzin, A., & Gehringer, M. (2001). Breaking science stereotypes. Science and Children, 38(4), 36.
- Smith, W. S., & Erb, T. O. (1986). Effect of women science career role models on early adolescents’ attitudes toward scientists and women in science. Journal of Research in Science Teaching, 23(8), 667-676.
- Gupta, M. L. (2004). Enhancing student performance through cooperative learning in physical sciences. Assessment & Evaluation in Higher Education, 29(1), 63-73.
- Marginson, S., Tytler, R., Freeman, B., & Roberts, K. (2013). STEM: country comparisons: international comparisons of science, technology, engineering and mathematics (STEM) education. Final report.
- Olsson, M., & Martiny, S. E. (2018). Does exposure to counterstereotypical role models influence girls’ and women’s gender stereotypes and career choices? A review of social psychological research. Frontiers in psych, 9, 2264.
- Kanter, D. E., & Schreck, M. (2006). Learning content using complex data in project‐based science: An example from high school biology in urban classrooms. New Directions for Teaching and Learning, 2006(108), 77-91.
- Mosatche, H. S., Matloff-Nieves, S., Kekelis, L., & Lawner, E. K. (2013). Effective STEM programs for adolescent girls: Three approaches and many lessons learned. Afterschool matters, 17, 17-25.
- Stohr-Hunt, P. M. (1996). An analysis of frequency of hands-on experience and science achievement. Journal of research in Science Teaching, 33(1), 101-109.
- Mahboubi, P. (2022, August). The knowledge gap: Canada faces a shortage in digital and STEM skills (Commentary No. 626). C.D. Howe Institute. Retrieved August 27, 2025, from https://cdhowe.org/wp-content/uploads/2025/01/Commentary_626_0-1.pdf
- Hudes, S. (2024, April 18). Construction workers shortage stands in the way of housing boost: Experts. Global News. Retrieved August 27, 2025, from https://globalnews.ca/news/10431789/construction-workers-shortage-housing-experts/


