ASE 2027 Annual Conference

This session will explore how AI is influencing trainee and early career teachers beyond practical use, focusing on professional identity development in a changing educational landscape.

You will hear findings from research into how trainee teachers are currently using AI to support planning, learning, reflection, and professional practice, alongside key themes around confidence, dependency, authenticity, and perceptions of expertise.

The session will then examine how AI may shape identity development during the transition from training into independent practice, raising questions around autonomy, judgement, professional voice, and the evolving role of the teacher.

The final part of the lecture will introduce the next phase of research focusing on ECTs, exploring identity development in the early years of teaching and launching a wider survey to gather insight into lived experiences of AI use in practice.



Outcomes:
Following this session, participants will hopefully be able to:

* Recognise key patterns in how trainee teachers engage with AI.
* Critically consider how AI may shape professional identity and autonomy.
* Reflect on implications for teacher education, mentoring, and induction.
* Identify emerging challenges around authenticity, confidence, and dependency.
* Engage with research-informed discussion around AI and identity development.
* Consider how AI use may influence teachers beyond efficiency and workload.

This session is grounded in research conducted at the University of Warwick exploring how trainee teachers are engaging with AI and how this intersects with their developing professional identity. As AI becomes increasingly embedded in educational practice, it raises important questions not only about workload and efficiency, but about how emerging teachers construct confidence, autonomy, expertise, and authenticity.

The project has explored how trainee teachers use AI for planning, idea generation, academic support, and reflective practice, alongside wider considerations around ethics, professional boundaries, and dependency. This work has led to a broader interest in how AI may continue to shape identity formation beyond initial teacher training. What the research has shown is that trainees are using AI, and the project is investigating what this means for both ITE and schools going forward.

The next phase of this research expands to newly practising teachers, examining how Early Career Teachers navigate AI use while developing identity, confidence, and professional agency in their early years of practice and we hope to promote this phase at the ASE Conference.