Sep 11, 2025
In this weeks podcast Dan and Ray have a conversation about
education with Dr Simon Breakspear. Simon is a
globally respected expert in educational leadership and innovation,
known for his insightful work on transforming learning
environments. His forward thinking ideas around education are
reshaping the way schools and school systems are thinking about
teaching, learning and leadership.
In this episode we talk about:
Distinction Between Productivity and Pedagogical Uses
of AI: Simon, Dan, and Ray discussed the critical
distinction between using AI for productivity tasks in education
(such as administrative work and report summarisation) and for
pedagogical purposes, emphasising that while AI can greatly enhance
productivity for adults, its use in learning processes for students
requires careful consideration to avoid undermining cognitive
development.
Human Development and the Role of Analogue
Learning: Simon argued that foundational human
development—such as reading, writing, and critical thinking—should
precede the use of AI in learning, with Dan and Ray supporting the
view that analogue learning experiences are crucial for building
the cognitive and personal skills necessary for effective future
use of AI.
Guidance for School Leaders and Teachers on Navigating
AI Integration: Ray and Dan sought practical advice from
Simon for school leaders and teachers facing pressure to adopt AI,
with Simon recommending a cautious, evidence-based approach that
prioritises human development, leverages AI for productivity gains,
and introduces AI into learning processes only where it
demonstrably enhances educational outcomes.
Changing Role of Teachers in the Age of AI:
Ray questions whether the role of teachers must change with AI, and
Simon responded that while some administrative tasks may be
automated, the core human functions of teaching—motivating,
engaging, and forming students—will become even more critical, with
teachers needing to exercise professional judgement about when and
how to use AI in the classroom.
Ethical and Equity Considerations in AI
Adoption: Dan and Simon discussed the ethical implications
and potential inequities arising from AI adoption in education,
highlighting concerns that uneven access and premature augmentation
could disadvantage certain groups of students and create
disparities in skills and opportunities.
Practical Strategies for Selective AI
Integration: Simon provided practical strategies for
integrating AI into education, recommending that schools focus on
specific, evidence-based learning processes where AI can add value,
such as feedback and retrieval practice, and to avoid being
overwhelmed by the proliferation of AI tools.
Long-Term Purpose of Education Amidst Technological
Change: Simon concluded that the ultimate goal of
education is not solely economic productivity but the holistic
formation of human beings, arguing that enduring human skills,
identity, and community are essential for resilience in an
unpredictable future, regardless of technological
advancements.
Links:
Research and Historical
References Mentioned
• Lindy Effect (Nassim Taleb): Simon
discusses the Lindy effect, suggesting that things valuable for a
long time (like bicycles or spoons) are likely to remain valuable,
as a way to think about educational priorities amid rapid
technological change.
Lindy effect -
Wikipedia