Teachers cautious about using AI to support girls in STEM, new research finds
Teachers view generative AI as both a tool and a risk when it comes to supporting girls' participation in STEM subjects, according to new research from Flinders University. The study, based on interviews with Australian educators, reveals that adopting these tools involves more than technical implementation-it requires teachers to make sense of the technology within their own practice.
The research found that teachers' decisions about using AI depend heavily on their experience, available infrastructure, school policies, and their own readiness to teach differently. Many expressed caution about relying on AI for gender-inclusive work, citing concerns about bias, stereotyping, and ethical responsibility.
What the research shows
Limited evidence exists about how educators actually use generative AI to support girls' engagement in STEM. This study fills that gap by examining how teachers interpret and apply these tools in practice.
Teachers described genAI as having genuine potential but also real risks. Practical barriers-including outdated infrastructure, unclear policies, and gaps in their own pedagogical knowledge-shaped how willing they were to experiment with these tools.
What needs to happen next
Supporting gender-inclusive STEM requires strengthening teachers' ability to critically evaluate AI tools and address ethical concerns. Schools need targeted professional learning and system-level support to make this happen.
Researchers plan to test these findings further and work with schools to translate the results into classroom practice and policy decisions. The work positions teachers as central to determining how new technologies affect STEM participation across different student groups.
For educators looking to understand how AI fits into inclusive teaching, resources like AI Learning Path for Teachers and AI for Education offer structured guidance on implementation and critical evaluation.
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