I’ve been experimenting a lot with using AI, especially for summarising long documents. For example, I used Google’s Notebook LM to summarise the transcript of a Westminster Education Forum on the future of AI in Education, and the KCL report on Computing Education.
In each case, I also undertook a lot of the summarising for myself, because I didn’t quite trust the AI. As it happens, in each case it did a pretty good job, the main, possibly the only difference being that it was taking me several hours and Notebook LM several minutes. And in each case I got a podcast discussion as a sort of (lighthearted) bonus.
However, at the risk of sounding obvious, these summaries lacked the human touch. I don’t mean that they didn’t contain touchy-feely sentiments (they didn’t, thank goodness). No, what they lacked was the depth and insight that a human expert can bring to the table.
As an example of what I mean, here is an article I wrote for my newsletter about 15 years ago:
In other words, what I did that the AI wouldn’t have done (unless I propmted it to) was take a report that was not about ICT and extracted the bits that were relevent to ICT teachers.
I did a similar thing in another article which addressed what ICT teachers mcould glean from the then new Ofsted Framework.
I also did the same sort of thing as an ICT advisor in a London Borough, where I would summarise the latest Ofsted ICT report and localise it to include resources and address issues that I knew we had locally.
From these ruminations I should recommend the following when using AI to summarise a document or report nthat could be useful for your professional development and classroom practice.
First, if the report is not about Computing you could ask the AI to draw out the excerpts or draw inferences that would be relevant to you as a Computing teacher. I think you would need to check afterwards that the result is actually useful rather than a load of generic waffle.
Second, adapt the result to your local needs, such as the school you teach in.
Do I recommend using the AI in the first place? Definitely. Not only does it save hours, but it also very helpfully suggests follow-up questions that, in my case, I hadn’t thought of. In the case of Google’s Notebook LM, it will also give you a summary that is appreciably shorter than the ‘executive summary’ provided in the report itself. It will also give you the option of comnsuming the information in different or complementary ways, such as a study guide or a podcast discussion.
But as with any technology, remember: caveat emptor.