Although I have never been a pure
Philosophy scholar, I have long been interested in Descartes’ approach to the
question of promoting knowledge acquisition, and how I might bring this into
the classroom. Whilst many books have been written about Cartesian teaching, it
is fundamentally based on the idea that all knowledge begins with doubt, and
that the best way to acquire knowledge is through systematic questioning – and
in particular questioning our assumptions.
Simply put, (and this is a 750-word
blog after all), it involves asking four basic questions: what, how, why and
what if? Answering these questions in a systematic way will often allow you to truly
understand the problem or issue, identify potential solutions and make better
and informed decisions. I did say it was simple. Over the years, students have
approached these questions in many ways, but not always successfully perhaps.
When I was working towards my doctorate,
I would spend many an hour in the library reading and making notes. I was completely
unsystematic in my search for knowledge, too easily seduced by the rabbit holes
I fell into, while reading papers and books. That said, I did gain my PhD. It’s
safe to say that teaching and learning have been something I have enjoyed being
involved in, all through my various careers, but in particular, when I was working
at the University.
Much of my writing and research has
been around preparing nurses for practice, both the stuff they need to know and
the knowledge they acquire, but also the bit in between, how to deal with what it is they don’t know. These days I still keep a watchful eye on nurse educational development.
Last week I saw a post on the Mental Health Nurse Academics UK (MHNAUK) group.
It was from a colleague at the University of Huddersfield; a colleague who has
been in nurse education for many a year. His concern was the student use of Artificial Intelligence
(AI) in higher education.
Whilst being aware of the many benefits
AI can bring to healthcare and our lives in general, his concern was about
students using AI to write their assessments and the over reliance on theoretical
knowledge gained in this way. It is a fair challenge. Using AI in this way can
be very seductive. I’m not sure limiting its use by students is necessarily the
best way of dealing with the issue. AI provides another repository of knowledge,
and it’s how this is engaged with, that is the real challenge for teachers and students.
The debate on the MHNAUK group is
heating up, and as there are some very wise heads in the group, I will continue
to watch with interest. One contributor from the University of Ulster sagely noted
that ‘Wikipedia was predicted to make teaching obsolete, and before that,
the internet itself. Even the calculator had its detractors. However, none of these
brought an end to teaching’. I’m in this camp.
I don’t use AI and have no desire
to. For teachers and students, however, perhaps there is value in thinking
about AI as being simply yet another development in how we all might acquire knowledge,
pursue truth, and find certainty in the truest Cartesian tradition. We already
help prepare students for their studies by using introductory courses to critical
thinking, research, and academic writing - why not an introductory course on
how to effectively use AI?
Most of the common AI programmes note,
albeit in the small print, that all answers to questions posed are dependent on
the data that has been collated, or is readily available to the AI search engine.
They all suggest that answers therefore might be inaccurate and should be
checked. The best way of doing this is by posing different versions of the original
question. Wise advice, and I think (therefore I know), Descartes would be
proud.
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