Listening Back to Thinking: Starlight joins the European P4C conversation on AI and reflection
- Adam Sturdee
- Feb 7
- 3 min read
We are delighted to share that we has been invited to contribute to this year’s online annual meeting of the SOPHIA Network, the European Foundation for the Advancement of Philosophy with Children, hosted in partnership with Thoughtful. The session will take place on 28th February, bringing together practitioners and researchers from across Europe to explore the relationship between philosophy, dialogue, and artificial intelligence.
You can find out more here: https://www.sophianetwork.eu/
The theme continues a line of enquiry opened at last year’s SOPHIA conference in Malta, which asked searching questions about machines, thinking, and participation in philosophical enquiry. This year’s online event deepens that conversation, with one speaker exploring AI as a participant in enquiries, and Starlight offering a complementary perspective: what becomes possible when AI stays out of the circle, but supports reflection afterwards.
A different place for AI in dialogic practice
Our contribution is titled Listening Back to Thinking: Using Transcripts and AI to Support Reflective, Dialogic Practice.
Rather than positioning AI as a voice within the enquiry, our session will focus on using AI to support reflection and listening back. By working with lesson transcripts after the event, teachers can notice patterns of questioning, silence, turn-taking, and response that are almost impossible to hold in the moment.
This approach matters. In dialogue-rich classrooms, attention is rightly focused on presence, responsiveness, and the community itself. Introducing evaluation, scoring, or real-time judgement risks shifting that balance. Transcript-based reflection offers a way to protect the integrity of enquiry while still supporting professional growth.
Why this matters for scale and sustainability
One of the recurring challenges for Philosophy for Children and dialogic teaching more broadly is sustainability. The intent is strong. The pedagogy is powerful. But the reflective support that helps teachers grow into this kind of practice is time-intensive and unevenly available.
What AI-supported transcript analysis offers is not replacement, but amplification. It makes careful, non-judgemental reflection easier to sustain across time, schools, and systems, without diluting practitioner agency. Teachers remain in control of what they notice, what they prioritise, and what they act on.
This is why the alignment with SOPHIA and Thoughtful feels natural. Both organisations have long championed thinking as something that happens between people, not to them. The question is how we support that work responsibly in a world where scale is unavoidable.
A conversation grounded in research and practice
The session will draw on classroom practice, work with Starlight, and emerging research into AI-supported coaching and transcript-based lesson analysis. It also connects with STAR21's ongoing academic work, including research accepted for presentation at BERA’s TEAN Conference later this year.
We are especially grateful to Emma Swinn for the care with which this conversation has been shaped, and for the wider invitation into the SOPHIA community. Opportunities like this matter not because they promote a product, but because they test ideas in thoughtful company.
If you are interested in dialogue, reflection, and how AI might support professional learning without eroding trust or intent, this is a conversation worth joining.
Join us as we explore how listening back to thinking can deepen reflection.
Spark insight with Starlight and listen back to thinking.
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The Insight Engine is written by Adam Sturdee, co-founder of Starlight, the UK’s first AI-powered coaching platform, and an Assistant Headteacher with senior leadership responsibility for teaching, learning and coaching. This blog is part of a wider mission to support educators through meaningful reflection, not performance metrics. It documents the journey of building Starlight from the ground up, and explores how AI, when shaped with care, can reduce workload, surface insight, and help teachers think more deeply about their practice. Rooted in the belief that growth should be private, professional, and purposeful, The Insight Engine offers ideas and stories that put insight—not judgment—at the centre of development.
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