Sep 11, 2025
On this weeks podcast Dan and Ray have a dialog about
training with Dr Simon Breakspear. Simon is a
globally revered professional in academic management and innovation,
recognized for his insightful work on remodeling studying
environments. His ahead pondering concepts round training are
reshaping the best way colleges and faculty techniques are desirous about
instructing, studying and management.
On this episode we discuss:
Distinction Between Productiveness and Pedagogical Makes use of
of AI: Simon, Dan, and Ray mentioned the crucial
distinction between utilizing AI for productiveness duties in training
(comparable to administrative work and report summarisation) and for
pedagogical functions, emphasising that whereas AI can enormously improve
productiveness for adults, its use in studying processes for college students
requires cautious consideration to keep away from undermining cognitive
improvement.
Human Improvement and the Function of Analogue
Studying: Simon argued that foundational human
improvement—comparable to studying, writing, and demanding pondering—ought to
precede the usage of AI in studying, with Dan and Ray supporting the
view that analogue studying experiences are essential for constructing
the cognitive and private expertise crucial for efficient future
use of AI.
Steerage for Faculty Leaders and Academics on Navigating
AI Integration: Ray and Dan sought sensible recommendation from
Simon for college leaders and lecturers going through stress to undertake AI,
with Simon recommending a cautious, evidence-based method that
prioritises human improvement, leverages AI for productiveness positive aspects,
and introduces AI into studying processes solely the place it
demonstrably enhances academic outcomes.
Altering Function of Academics within the Age of AI:
Ray questions whether or not the function of lecturers should change with AI, and
Simon responded that whereas some administrative duties could also be
automated, the core human capabilities of instructing—motivating,
partaking, and forming college students—will change into much more crucial, with
lecturers needing to train skilled judgement about when and
easy methods to use AI within the classroom.
Moral and Fairness Issues in AI
Adoption: Dan and Simon mentioned the moral implications
and potential inequities arising from AI adoption in training,
highlighting issues that uneven entry and untimely augmentation
may drawback sure teams of scholars and create
disparities in expertise and alternatives.
Sensible Methods for Selective AI
Integration: Simon offered sensible methods for
integrating AI into training, recommending that colleges give attention to
particular, evidence-based studying processes the place AI can add worth,
comparable to suggestions and retrieval apply, and to keep away from being
overwhelmed by the proliferation of AI instruments.
Lengthy-Time period Objective of Schooling Amidst Technological
Change: Simon concluded that the last word objective of
training will not be solely financial productiveness however the holistic
formation of human beings, arguing that enduring human expertise,
id, and group are important for resilience in an
unpredictable future, no matter technological
developments.
Hyperlinks:
Analysis and Historic
References Talked about
discusses the Lindy impact, suggesting that issues helpful for a
very long time (like bicycles or spoons) are more likely to stay helpful,
as a means to consider academic priorities amid speedy
technological change. Lindy impact –
Wikipedia
