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By Robert H Olley | January 24th 2009 09:27 AM | 3 comments | Print | E-mail | Track Comments
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About Robert H Olley

I work in the Polymer Physics Group of the Physics Department at the University of Reading.

I would describe myself as a Polymer Morphologist. I am not an astronaut, but I am a "Real


... Full Bio

In a Times News Review interview, Marcus du Sautoy, our new Oxford University Professor for the Public Understanding of Science, says:
I became a mathematician and not a scientist because science often goes wrong .... You do an experiment 100 times and you get the same result. You do it for the 101st time and something different happens. No one would be my lab partner at school because all my experiments went wrong. Maybe I’m a bad choice for this job.

This set me thinking.  Maybe some high-school sciences tudents are intimidated by the thought of an experiment as "something you've got to get right".  I have seen this misapprehension carry over, even into some of our PhD students.  Carl Wieman, who has put three articles on Optimizing Science Education on this blog, has suggested that simulated experiments may sometimes be better for teaching physics.

What do you all think?

Comments

Becky Jungbauer's picture
Carl writes in one of his posts:
"Currently the implicit roles are that the faculty member simply transfers their expertise, as if it were bits of information, to the receptive students, much like pouring water from a large jug into a set of small receptive cups. This model is inconsistent with what we know about how people learn science."

I agree that students think experiments are something to get right, Robert. I remember my high school chemistry class - we were given a list of instructions to follow and we had to fill in the blanks with whatever values we obtained. We weren't learning anything, and we certainly were more concerned with getting the same values as the next lab bench over. Isn't variation a way of learning? As in, why our solution turned blue but the next table's solution turned red. And most importantly, negative results can still be powerful results. It wasn't until college when we had to start thinking in labs - we had to include, along with our experiment results, WHY we obtained those results.

In another post Carl writes:
As an example from higher education, an undergraduate physics major will cover nearly every specific topic two to three times over their course of study.

This is true I think of any field, but definitely in science. In my chemistry, biology and physics classes much of the same material was carried over from subject to subject. Yes, there is a certain amount of redundancy among the sciences and within subjects. That can be good and bad. Carl points out a paragraph later, "research shows that when students develop misconceptions from their initial instruction, these tend to be maintained throughout subsequent instruction." A good example from my undergrad - there was an honors program for those of us that tested out of all interdisciplinary subjects, and in the sophomore year Justice course one of our readings was Plato's Republic. Most of us were both science majors and in the honors program. Somehow every single one of us misinterpreted the Allegory of the Cave, believing that the philosopher kings returned to the cave to help others see the truth. In our senior year course we read excerpts from Plato again in a different context and the cave allegory came up, and our professor was shocked that for two years all of us shared and maintained the same misconception. In this case it was good that we had some repetition, as it corrected the misconception. 

Hank's picture
I think true experimentation is the beauty of numerical modeling.    When I first got into high end analysis (as a business guy, not an end user) it was impossible to convince physicists and engineers that you could do this kind of work on a computer.    But my take was that it was going to take the place of design, not bench testing - you still had to verify manufacturing.  Now it is commonplace to where people are surprised physicists and engineers didn't always do that.

Experiments can be quite expensive but numerical simulation - 100 or 1000 times - is much 'cheaper' in all ways except time.    The necessary intuition and thought is the same (because you can converge on a 'correct' answer for a model that is totally wrong) but the expedience should make it easier for physics students to relax and have some fun because it does not risk a million dollars if a numerical model is wrong the way a private sector physical model, like a semiconductor board, does.

antunes's picture
Hi,

I was pleased to see 2 students do projects with incorrect hypothesis-- that they were happy with. I judged a science fair today, and two of the top 16 entries were ones that had incorrect hypotheses. Both students were able to articulate that in a positive manner, and didn't see being disproven as bad.

A lot of times, chosing a hypothesis can be a coin flip. Stealing from MythBusters, If I shoot a bullet into the water, it'll either hit a person 10 feet down or it won't. Committing to a hypothesis (it won't hit them) gives the experiment context and a better handle on how to build an accurate test rig (with the above, 'build test dummy 10 ft down', for starters). Being proven right or wrong, in the end, will yield scientific meaning.

At the sci fair, one project didn't make the final award round in part because the student didn't commit to a hypothesis. She wrote she expected the experiment would result in "an increase or a decrease rather then identical" to not doing anything. That's extremely weak, akin to saying "I think something will happen if I enact drastic change".

The topic doesn't matter, the point was she wasn't willing to commit to "will increase" or "will decrease" because she wasn't sure which would happen. But that's the point-- it's not whether you're sure you have the right answer, it just matters that it's testable.

Reality in the end will assert itself and either decrease or increase, and you get a valid answer either way, but a good scientist has to commit beforehand.

The old Wolfgang Pauli insult of ‘That’s not right. It’s not even wrong’” emphasizes what makes science powerful.

Cheers,
Alex, Daytime Astronomer

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