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Please be cautious in using the transcripts.

They were created mechanically and have mostly not been checked or revised.

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  1. live lecture recorded;
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  3. ask LLM to clean up transcript, and link to individual slides.

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also ...

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Notes and Slides

Things I have wanted to do for around 10 years but never could ... until now.

requirements

fast to implement and update

control over content (no tie-in)

deep links to lecture content

tinyurl.com/qessai

tinyurl.com/qessai

tinyurl.com/qessai

tinyurl.com/qessai

AI tools are doubly helpful because they can provide content and tools

content + tools

challenges

$£€

compliance

assurance

acceptance

evaluation

training

ethics

time

...

Of course there are lots of challenges.
We all know the real work starts after you have run the pilot. But ...
The big challenge is access to the tools.
None of the other challenges will matter if we do not have access.
While I think it’s fun to start with easy things that we have long wanted to do, I am not yet scratching the surface of what is possible.
The opportunities are amazing. We’re going to be able to teach much better than we have ever taught before.
I know this because about 15 years ago I saw how students’ learning improved when we introduced automated feedback for logic exercises.
Suddenly we could teach more content, and we could teach faster, and students did better.
I don’t think we can get the same boost just with multiple response questions, of course. I think there are new kinds of tools we can create and build that will take us much further.

appendix

to generate questions

start with aistudio.google.com

multi-modal model

limited free access (create a paid project)

gemini-3.1-pro

1M context (~700k usable?)

structured output

easy to switch to API later

ms copilot

unpredictable model router (cannot replicate)

weak models

limited context

no control over system message

no structured output (eg JSON)

no API