Weapons of Math Instruction February 15, 2017Posted by Peter Varhol in Education, Technology and Culture.
Tags: data, Math, statistics
That old (and lame) joke, of course, refers to Al-Gebra (algebra). But the fear of math is very real. For decades, many have hid behind the matra “I’m not a math person”, without exploring the roots of that statement. This article, by Jenny Anderson on Quartz, offers hope that we may be able to move on from this false rhetoric.
I never understood math early, but I always loved it. Post-BA degree, I taught myself calculus, and obtained an MS in applied math.
I taught various math and statistics courses to college students for 15 years. I would like to think that my enthusiasm and down-to-earth explanations at the very least made it tolerable to them. I still remember one student saying to me, “In elementary school, the teacher would preface the math lesson by saying, ‘I don’t want to do this any more than you do, but we have to, so let’s get it over with.’” I think teaching is a very big part of the problem. If teachers don’t like the topic, neither will their students.
I especially came to appreciate word problems, something that few if any students liked. I had a method of dealing with them. My original issue with word problems was that if I read it once and didn’t immediately see the solution, I would be stumped. Instead, I taught people to read the problem first, to understand it without seeking a solution. Then read it again, and highlight any information that seemed pertinent. Then read it a third time, to pull out that information and see how it might help lead to a solution. Then try a formula. If it didn’t seem to work out, discard it and start back at step 1.
It is not hard, folks, though it does require overcoming age-old biases, as well as a willingness to be open to new ways of thinking. Anderson notes that learning and applying math and quantitative methods requires a growth mindset. That is, a willingness to get something wrong, and learn from it for the future.
As we move (or already have moved) into a data-driven world that requires an intimate understanding of how data shape our lives, we can no longer plead ignorance, or lack of ability. If we plead lack of interest, we will be left behind.