Speaking

Content quality, AI, and learning science — grounded in data.

I speak on what it actually takes to test whether edtech content and quality claims hold up, not vendor pitches. Topics I'm currently developing:

  • Why "AI-generated" and "accurate" aren't the same claim — what gets lost when content is technically correct but not specific enough to the exact context a learner needs.
  • Measuring quality honestly — what it actually takes to test whether a quality framework produces agreement between independent reviewers, and why most published "quality" claims never check.
  • What learning science looks like at platform scale — testing decades-old lab findings against millions of real, self-directed users, including the results that don't cooperate.

Get in touch if any of this fits your event or publication.

Past speaking

  • Panel: "Solutions for solving the student retention crisis," Bett UK, 2025 — on accessibility, inclusion, and wellbeing in higher education retention, as VP of Content, Save My Exams. Speaker profile →
  • Bett UK, 2024 — representing Save My Exams.
  • Keynote: "The Changing Nature of Publishing," Typefi User Conference, 2016 — delivered as Head of Content, Cambridge University Press. More →
  • Case study, London Book Fair Accessibility Action Group, on the Marrakesh Treaty and accessible publishing — presenting the ASPIRE project and the employee disability network she co-founded, as Head of Custom Publishing, Macmillan Education. More →