Expert Insights

In the lecture theatre the best strategy there, where you’re confronted by all the constraints of the lecture theatre, is to stop and do stuff with the students, walk around amongst them, see what they’re actually doing... And out of that you might go back and address some aspect of it and revisit it or something like that or you might point them to some tools to use to work out some other aspect.  So in the lecture theatre it’s very much for me a case of stopping and going and seeing what they’re doing and if you don’t then clearly you don’t know. 

So the first thing that I really stress that people do, is that they actually go and watch some classes.  I think that’s the most important thing.  When they’re coming straight out of a post doc, or they’re coming straight out of the Research Centre, and then, they’re told they’re going to be lecturing 300 first year students, they’ve got to go and sit in the back of the lecture theatres for a few weeks.... when I came over from the UK to here, and the class sizes are about three or four times as big, it was just a real help to be able to see what worked and didn’t work  – how little time the students were on task in quite a few lectures.  Where the lecturer would just be talking and be oblivious to this.  I think people just learn a lot by seeing good things, but they also learn a lot by seeing quite bad things going on.

In the lab it comes out in a variety of ways.  It comes out most commonly when the student gets to actually start doing their calculations and you ask them to relate that back to what they’ve actually physically measured.  And when they start doing those sorts of things you realise there’s a bit of a misplaced idea here or a misconception that you can deal with there.

I don’t like to be in a position where I’m stood at the front talking for 50 minutes. I like to be a in a position where I’m engaging with students, where they’re engaging with each other, where there’s a buzz, where there’s things happening, and it’s an active environment.

They [students] expect to either succeed or fail immediately or very quickly on particular problems. They do not see the process as a learning process.

I think what I try to get students to see is that we use models and you use a model, while it works. Then when it doesn’t work you develop a more sophisticated model, and what we’re doing now is developing a more sophisticated model of the structure of the atom, of bonding between atoms. So they find that difficult, the fact that you’re putting aside the model you used previously and developing a more sophisticated one. I think that’s something, it just knocks their confidence a bit. I think we’ve got to convince them that, actually, what your teachers told you at school wasn't wrong, it’s just that this is more sophisticated, that science is all about building models to explain reality.

It was a revelation to me in second year when [one of the top professors] said to me, "Buy a model kit." And so now I tell all my students.

In the workshops, the workshop idea as we run them is that you are out and about and amongst the students all the time in those groups, seeing what’s going on in the groups, seeing how they’re answering their questions.  They have set questions on sheets that they work through in groups and the groups of three just get one set.  They’re all working on them together and you’re moving in and out and around among the groups and seeing how they’re going.  In that circumstance you can quickly, having looked at three or four of your eight different groups, figure out where a particular issue would be and then that can be addressed on the board, it can be addressed with models or something like that.

I think it’s a key teaching topic, also because it’s teaching students to look at data and to interpret data, to assess which part of that data is going to get them to the answer and which part is exquisite detail that they can come back to later on. 

I find that some students pick up what the mole concept is from the idea of grouping numbers of things that are every day size. 

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