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Last week we started the strategic process of how to approach non-linear
innovation (Box three). Click here to check out
the previous editions.
In this edition I want to backtrack slightly to the guidance I published on how
educational organisations can implement short-term steps to set the foundations
of AI innovation. I will explain these seven steps and sign-post to resources
and/or give practical tips.
In this edition you will also find:
- My summary and thoughts on the new Russell Group Principles on The Use
A video tutorial on how to generate AI images with your face in them
(see my pic below)!
- The latest AI tools for educators at aieducator.tools
This week I'm looking forward to speaking about AI at:
- The BLC Summer Conference in Worcester, UK (Sold Out)
- Global STEM Leadership Alliance Summit in Orlando, Florida
Have a great week and thank you for reading.
If you need me I'm at [email protected].
Dan Fitzpatrick - The AI Educator ✌️
🪜 7 Steps for the New Academic Year
Here are 7 strategic steps any educational organisation can begin to impement
in the new academic year.
These steps are designed to be put in place over the next 12 months to build a
foundation for non-linear innovation with AI in the years to come.
I have included some resources and/or tips to guide you in the right direction.
1. AI Literacy for Learners
Using AI as a tool in the classroom will give students an advantage in the
By teaching students how AI works, its limitations, and its potential
applications, they can be better prepared for the jobs of the future. This will
also help students understand the ethical and societal implications of AI,
which is a crucial aspect of digital literacy in the 21st century.
Where do we get an AI curriculum from?
I have some exciting news. In September StudyHall.ai, a
phenomenal AI platform for education, is releasing an AI curriculum that
infuses AI in the learning process.
2. Staff Professional Development
Professional development in Artificial Intelligence (AI) is critical for
Generative AI has the ability to very quickly save teachers time, optimise
their workload and help them be more efficient. This new technology is also
being used by students, so knowledge of how it works is vital for educators. It
is also likely that this technology will disrupt traditional schooling and
therefore the teaching profession.
Educators must understand how to ethically leverage AI's capabilities.
There are many ways that teachers and educational leaders can raise their
awareness and upskill. My own introduction
course is very popular with teachers around the world and I spend
a lot of my time doing in-person and virtual PD in schools,
colleges and universities.
The AI Classroom bestselling
book is designed for teachers and leaders to get started with AI
and start to strategise in their organisation for the future of education.
3. EdTech Relationships
Every educational organisation purchases digital products and services.
In The AI Classroom I wrote a chapter on the values of a leader in the AI
Revolution. The key value is collaboration. Isolated we have limited resources
but together we can command a purposeful direction for AI in education.
One of the ways we can collaborate is with the edtech companies who provide our
services. Here’s some ideas:
- Ask them how they are implementing AI into their products
- Offer them advice on how it would work best for you
- Research other edtech companies who are pushing the boundaries.
4. IT Services Professional Development
Your IT services team need to be clued up on this. They have a responsibility
for cyber security and for helping educators be safe when innovating.
Here are some articles and courses that can help them start to build their
knowledge, if they don’t already have it:
5. Data Protection Capability
Is the person or team who oversees your data privacy clued on on generative AI
and the platforms like ChatGPT that offer these services?
It’s not the role of these colleagues to simply say ‘yes’ or ‘no’, but to
educate our staff and guide them on their use of these technologies in a safe
The pursuit is innovation, but we need guidance on how to do this safely. We
don’t need closed doors, but our hands held in this process.
Here are two articles to help you get started:
6. Teaching and Learning Adaptations
Major change in this area will take time and rely on our Box Three endeavors
(Learn more about Box
Three), however there are some immediate demands on us.
We can’t afford to ignore this before the new academic year begins. You’re
going to want to communicate this to students quickly, if you haven’t already.
I heart these kind of concerns every day:
“How do we stop students using ChatGPT in their homework?”
“How do we identify when students have used ChatGPT in their work?”
We have two main options: Only assess work that students have done in the
classroom, without technology, when being supervised or we shift to a more
dynamic way to assess our students progress.
The former, although necessary in some circumstances, will not prepare our
students for the AI world or be relevant to their lives now and in the future.
7. Box Three Incubator
The last and most important step in building the foundations for non-linear
innovation is your Box Three Incubator group.
This is a working group that you must set up. Even better if it’s a
collaborative group with representatives from business, other education sectors
and colleagues from other schools, colleges or universities. The job of this
group is to ‘listen for weak signals’; research what’s coming down the line (or
already here in some cases) that will potentially change and disrupt how we are
currently doing things.
Find out more about their work in last week’s
edition. Their job will be to ideate, incubate and scale solutions
that will help your organisation remain relevant in a fast changing world.
😱 Generate AI images with your face in them
Click the video below to watch the tutorial. Please note you will need to have
a Midjourney account (well worth it) to do this.
🎓 Russell Group Principles on The Use of GenAI
The Russell Group is a collective of 24 leading UK universities. They have
published a guidance
document to their universities on
generative AI. Here is my quick summary and my thoughts:
There is a focus on not
merely teaching students about AI; but crafting a new language of
comprehension. They want students to utilise the tools, but also understand
their limitations and ethical implications.
They see their educators as guides on
this journey. They want to arm them with the knowledge and resources to help
students harness the power of AI in their learning.
They don't just want to incorporate AI
into their teaching; they want to evolve their teaching to meet AI. This
isn't a one-time adaptation, but a continuous process of growth and
Academic Rigour and Integrity
They see AI as a tool, not a shortcut. They are still committed to
maintaining the highest standards of academic integrity in this new era. They
want to show students how to use it responsibly.
They want to work together,
across universities, sectors, and disciplines, to navigate the ever-changing
landscape of AI. Not just adapting to the future, but shaping it together.
It's refreshing to see guidance that has such a positive outlook and doesn't
just put risks at the heart of the message. I really like this approach.
However, the document is very vague on how their ambitions will be achieved.
The main point that everyone will be keen to read about is their approach to
assessment and academic integrity. They explain that AI should be used but
that's about it. No real guidance on how to do this and still be academically
Assessment rubric for educators might help with this.