Lesson 2: The gender gap — more than a numbers problem
The leaky pipeline, the myths, and the barriers that actually matter.
Start here
In many countries, girls outperform boys in school science. Far fewer of them end up in senior STEM roles. The gap does not open where most people assume it does.
In this lesson you will
- Describe where participation drops along the STEM pathway.
- Separate common myths about women in STEM from the evidence.
- Identify specific barriers and the interventions that address them.
According to UNESCO, women make up roughly a third of researchers worldwide, and far less in fields such as engineering, computing and artificial intelligence. The interesting question is not whether the gap exists but where along the path it forms — because that determines what actually fixes it.
The leaky pipeline
Participation is not lost at a single point. Interest is broadly equal in early school years; numbers fall at subject choice, again at graduate study, again at hiring and promotion, and most sharply at senior and leadership levels. Each stage has its own causes.
It is rarely about ability
Large international assessments show no meaningful ability gap in mathematics and science that would explain the participation gap. The stronger predictors are confidence, stereotypes, visible role models, mentorship, and whether an environment is workable over a career.
Barriers are specific, so solutions can be too
'Bias' is too vague to act on. Named barriers — no visible role models, biased evaluation of identical applications, caregiving penalties, unsafe or unsupportive environments, unequal access to devices and internet — each have interventions with evidence behind them.
Diagram
Where participation drops: the leaky pipeline
Notice that the narrowing happens at several separate stages — which means there is no single point to fix.
Subject choice at secondary school: Fewer girls select physics, computing and engineering pathways — shaped by stereotypes and a lack of visible role models, well before ability is a factor.
The widths show that fewer people continue at each stage; they are not measured percentages.
Build the leaky pipeline
Put the stages of the STEM pathway in order, from earliest to latest. Each stage shows where participation typically drops and why.
Choose step 1
Myth vs reality
Switch between the two views to compare a common claim with what the evidence shows.
What people often assume
These claims are widespread, repeated confidently, and not supported by the evidence.
- Girls are naturally weaker at mathematics and science.
- Women simply choose not to go into STEM fields.
- The gap will close on its own as older generations retire.
- Talking about representation lowers the standard of science.
View both states to unlock the comparison summary.
Match the barrier to what helps
Match each barrier to the intervention with the strongest evidence behind it. Read the explanation for the reasoning.
Item 1 of 4
A student has never seen a scientist who looks like her or comes from her community.
Quick check: reading the gap
Choose the best-supported answer.
Question 1 of 2
Where does the participation gap in STEM mainly begin to widen?
Real-world connection: the global picture
UNESCO reports that women are around one in three researchers worldwide, and roughly one in five in artificial intelligence and engineering roles. UN Women links the gap to the digital divide, unpaid care work and safety — which is why programmes that provide devices, transport and mentorship often shift the numbers more than encouragement alone.
Three Key Takeaways
- 1Participation drops at identifiable stages, not because of an ability gap.
- 2Widely repeated myths do not survive contact with the evidence.
- 3Specific barriers have specific, evidence-based interventions.