Non-science Brains as Scientists

duncecap

It seems that youngsters who are not particularly gifted in science and math are more likely to want a science job later in life. Kids who excel in science are less likely to want to be scientists. At least, that’s the odd result from testing and polling 540,000 15-year-olds in 70 countries.

The Programme for International Student Assessment (PISA) is an evaluation of the competency of a half million 15-year-old students, randomly chosen from the world’s 35 OECD (Organisation for Economic Co-operation and Development) countries and over 30 non-OECD countries (places like Croatia, Uruguay, China, Singapore, Russia). Here’s a link to PISA. You can get the raw data there and inspect their methods and summary reports.

Every three years, the newest crop of 15-year-olds take the PISA Reading, Science, and Math exams. The OECD does this so various education techniques can be compared with the kids’ results. For example, what leads to higher scores: More homework? More money dumped into the education system? A smaller teacher/student ratio? (No, Sometimes, Yes.)  If you are interested in this sort of thing, the reports and the PISA data are publicly available.

2015-pisa-rank

2015 Science Rank

PISA is also a ranking system enjoyed by gloaters in select countries.  In reading, Canada tied with Hong Kong for second place in the world. (Singapore was number 1, USA #24, Russia #26). Singapore was number one in math, science, and reading. Canada was in the top ten in everything. Other high-scoring countries are Finland, Japan, Estonia, and China.  The analysis indicates that a lot of factors make the difference. National wealth, priorities (sports/fitness, nutrition, health care), and culture interact to define the success of students. The Economist has a nice analysis of the results.

While I was reading the tables of numbers, I happened upon some curious data. In the most recent assessment (2015), PISA asked participants: “Do  you think that you will pursue a career in science?” From the answers, the OECD guesstimates how many future scientists may be entering university. On average, the number was encouraging – 26% of 15-year-olds worldwide think that their future career (as physicians, engineers, science-teachers, chemists, computer scientists, researchers, etc.) will involve science. But here’s the odd thing: youngsters who did poorly on the science exams were actually more likely to think that they will become scientists.

The most blatant example of the gap between career aspirations and expertise is found in the country of Dominican Republic. Students there did more poorly than any of the other tested countries. The average science score places 15-year-old D.R. students 7 academic years behind 15-year-olds in Singapore.  In D.R., performance is at a Grade 5 level while in Singapore, the scores indicate a Grade 12 achievement. By the way, American students performed roughly 3 years behind the Singapore kids but just one year behind the world average.

So, the Dominican Republic came in last in science skill. But that country was first in science career aspiration. 45% of Dominican Republic’s 15-year-olds hope to take a career in science, according to the PISA study. That’s higher than any other country. Some other countries showed a similar dichotomy, but not as severe. I did a simple Pearson’s correlation (Science aptitude and Science career aspiration). For the 70 countries, there is a negative 0.49 correlation, which is reasonably strong. The Dominican Republic is a bit of an outlier, so I masked it and the correlation went down just a little, to  -0.45. My plot, below, is a bit scary – it is unfortunately obvious that decreasing skill is accompanied by increasing confidence.

pisa-earth-space-2015-for-15-yr-olds-with-domrep

Plot of science career aspiration as a function of science skill. Each dot is a country. Dominican Republic, upper left, shows high confidence but low science score. Dot furthest right is Singapore with highest science skill and slightly above average confidence. The sloping blue line is a linear least squares fit, showing negative correlation of skill and confidence. (Data from PISA)

The USA is below the world average in science (and math and reading) but with 38% expecting a career in science, many of its children are nevertheless thinking that they’ll have a science career.

I realize that there can be a lot of reasons for boys and girls to claim that they will pursue science – motivators could be cultural and financial. However, I wonder if hubris also plays a role. Even doing poorly in science, some 15-year-olds nevertheless think that they will work as scientists. It may be a case of not knowing the unknown. I’ve fallen into this same trap myself. After flipping through an easy-to-read science book (How to Remove Your Own Appendix, or Quantum Explanations of Everyday Accidents), I’m sure I can remove my own appendix or teach nuclear physics because it just sounds so easy. I’m not an expert, but heck, I can do it.

Beekeeping, the usual theme of this blog, also offers opportunities to see over-confidence in action. The newest beekeepers often have it all figured out, until they realize much later that they knew very little. I suspect that’s the main reason foundering science students think science should be their career.

 

About Ron Miksha

Ron Miksha is a geophysicist who also does a bit of science writing and blogging. Ron has worked as a radio broadcaster, a beekeeper, and is based in Calgary, Alberta, Canada. He has written two books, dozens of magazine and journal articles, and complements his first book, Bad Beekeeping, with a popular blog at www.badbeekeeping.com. Ron wrote his most recent book, The Mountain Mystery, for everyone who has looked at a mountain and wondered what miracles of nature set it upon the landscape. For more about Ron, including some cool pictures taken when he was a teenager, please check Ron's site: miksha.com.
This entry was posted in Culture, or lack thereof, Outreach, Strange, Odd Stuff and tagged , , . Bookmark the permalink.

3 Responses to Non-science Brains as Scientists

  1. Erik says:

    There might be something to say for aspiration! Also, I always wonder in these studies how the students are selected. I know in some of the “top” countries, in particular in Singapore and Japan, students are partitioned out at an early age (Japan used to be at 9 years, not certain exactly what they do today). So the students taking these tests may not be from the same general population as you would get in the United States.

    Larger countries may also have wider disparities, which end up bringing down the average. I have no basis, but I have always wondered if they really normalize these surveys to account for differences in the educational selection and approach in the countries.

    Thanks for sharing the post and data, interesting stuff.

    Like

    • Ron Miksha says:

      The interesting thing about studies that are this large – over half a million youngsters – is that they reduce most of the selection and sampling errors. Having read several of the PISA reports over the past few days, it seems that the examinees are selected by PISA itself as they are the ones who need the data for policy analysis. Allowing each country to pick its own students would skew the data to suit various local political agendum. Your point about students being separated (academics/arts/trades) at an early age is interesting and I would have also thought that this would push results in favor of countries like Japan. However, the data show that those nations with early divergence schemes for the gifted do less well on these exams than countries which eschew that policy. I found that the Economist magazine link has a good explanation of results and factors potentially affecting them.

      The PISA is not normalized to account for differences in teaching styles and population disparities because the testing is done to determine those factors. (eg, Canada has two official languages, a large impoverished indigenous population, isolated rural communities, separated Catholic and secular systems, and the developed world’s largest immigrant proportion. By testing every part of the country (and the world) the same way, we can use multi-factorial analysis to try to determine what impedes a kid’s achievement.)

      I don’t know a lot on this, but I noticed the strong negative correlation between ability and goals – it ran highest in Latin America for some reason – and it reminded me of newbie beekeepers who often arrive on the job with little skill but lots of advice and self-confidence.

      Liked by 1 person

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s