My research looks at language teacher motivation, teacher education and, more recently, generative AI in English language teaching. What connects these areas is a curiosity about teachers themselves: what draws them into the profession, what keeps them going, and how they are prepared for the realities of the classroom. I work mainly with qualitative and reflexive approaches, including interviews and observation, because I believe teachers’ own accounts should shape the questions we ask as well as the answers we find. I also write about the methods themselves, including how interview prompts can make research more reflexive and participatory. This work has been funded by the British Council, the ESRC and YERUN.
Why do language teachers stay, struggle or leave? Using ecological perspectives and interview-based inquiry, my research looks at how motivation and demotivation are shaped by the classrooms, institutions and wider systems teachers work within, and how this affects their professional identities across EFL contexts.
How are future teachers making sense of generative AI? Combining reflexive thematic analysis of interviews with large-scale social media data, I explore pre-service teachers’ perceptions, hopes and hesitations, including what they say about AI and what they do with it.
What does it take to move from teacher education into practice? Through qualitative designs combining interviews and classroom observation, including a British Council-funded study in Spain, I follow pre-service and in-service English language teachers to understand where preparation falls short and how it can better reflect classroom realities.