NYT

7 Ways to Explore the Math of the Coronavirus Using the New York Times

My latest piece for the New York Times Learning Network is “7 Ways to Explore the Math of the Coronavirus Using the New York Times”, a collection of ideas for using NYT articles, infographics, and interactives to explore the mathematics underlying the current coronavirus epidemic.

The opportunities range from statistical literacy to network theory. Here’s an example of some data analysis you can engage in using a wonderful NYT interactive:

By using sliders to change, for example, the level of intervention (e.g., moderate or aggressive) or the length of intervention (e.g., 14 days or 60 days), students can see how outcomes change. And, by playing with the model, they will be able to answer questions like: “What is the impact of shortening our social distancing period?” or “What happens when we delay the start of our interventions?”

The full article is freely available on the New York Times Learning Network.

By MrHonner, ago

Dangerous Numbers

My latest piece for the New York Times Learning Network is inspired by a recent NYT editorial from mathematician and author John Allen Paulos. In “We’re Reading the Coronavirus Numbers Wrong”, Paulos opens with a warning about our addiction to up-to-the-minute:

Numbers have a certain mystique: They seem precise, exact, sometimes even beyond doubt. But outside the field of pure mathematics, this reputation rarely is deserved. And when it comes to the coronavirus epidemic, buying into that can be downright dangerous.

The lesson uses Paulos’s essay to help frame student analysis of new reporting. By asking questions like “Is the data what we think it is?”, “Does the data mean what we think it means?”, and “Is there other data that could help put this in context?”, students can improve their quantitative literacy skills. And maybe spot a few “dangerous numbers” of their own!

The full lesson is freely available at the New York Times Learning Network.

By MrHonner, ago

Teaching with the ASA’s Election Prediction Contest

My latest piece for the NYT Learning Network gets students using statistics and data analysis to create entries for the American Statistical Association‘s Election Prediction contest.

The ASA’s contest invites students to predict the winner of each state in the upcoming Presidential election, as well as the vote-share for each major party candidate.  My piece offers students some basic strategies to consider when making their predictions.

A straightforward strategy for predicting the winner of each state would be to use the latest aggregate polling data from a reputable source. The New York Times offers a state-by-state probabilities chart that provides a projected outcome for each state as determined by each of several media outlets, including The Times itself as well as FiveThirtyEight and Daily Kos, among others.

Students could choose one of the outlets to use as the basis for their predictions, but to satisfy the written requirement of the contest they should be prepared to provide some justification for their choice. For example, they could research each outlet’s methodology and explain why they found one more compelling than another (perhaps more polls are used from each state, or the predictions have been more stable over time).

In addition to introducing students to several basic prediction strategies, there are plenty of links to online resources where students can explore visualizations of voting trends and research historical voting data.  The lesson is freely available here.

The ASA’s contest ends October 24th, so get predicting!

By MrHonner, ago

Who Needs Math? A Student Responds

For a political science professor, Andrew Hacker is surprisingly familiar to math teachers.  His 2012 New York Times Op-Ed “Is Algebra Necessary?” generated lots of conversation in the math education community, including several pieces from me:  “N Ways to Use Algebra With the New York Times” in NYT Learning, and “Replace Algebra with Algebra?”.

Professor Hacker is back in 2016 promoting a new book, and in a recent NYT interview he revives his anti-math arguments from four years ago:  math is not really necessary for jobs; it’s too hard; it prevents students from graduating.

I saw the piece and didn’t feel the need to respond.  There was nothing new, and I’d said what I wanted to say here.

But I was pleasantly surprised when I saw this letter-to-the-editor, written by a high school student, published in the February 19th edition of the New York Times.

In “Who Needs Math? Not Everybody” (Education Life, Feb. 7), Andrew Hacker, who teaches quantitative reasoning at Queens College, says that since only 5 percent of people use algebra and/or geometry in their jobs, students don’t need to learn these subjects.

As a high school student, I strongly disagree.

The point of learning is to understand the world. If the only point of learning is job preparation, why should students learn history, or read Shakespeare?

And while your job may never require you to know the difference between a postulate and a theorem, it will almost certainly require other math-based skills, like how to prove something or how to understand a graph.  

And my surprise turned to delight when I realized that the author is a 9th grader in my Geometry class!

While her love of mathematics and her wonderful attitude toward learning certainly predate my Geometry course, I am very proud to see reflections of our classroom in her letter.

You can read the full text of her letter here.

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By MrHonner, ago

Teaching with “Why Do Americans Stink at Math?”

why do americans stink at mathMy latest piece for the New York Times Learning Network is a math lesson that uses Elizabeth Green’s article “Why Do Americans Stink at Math?” to get students thinking about the most effective ways to teach and learn mathematics.

Is there a crisis in math education? Lots of people seem to think so.

From worries about where the United States ranks on international tests to arguments over the Common Core, the way teachers teach and students learn math continues to be debated widely, leading to proposed changes in the ways mathematics is taught. But what really works for students in the math classroom? And when changes to the techniques are necessary, how can they be implemented effectively and appropriately across an entire system? This Text to Text lesson plan confronts those questions and more.

Students are invited to use the suggested texts, as well as their own experiences in math class, to explore questions like “Do you believe teaching with a stronger emphasis on conceptual understanding will improve students’ performance in math?”, “What are some of the potential obstacles one might face in trying to change the way mathematics, or any subject, is taught?”, and ultimately, “What are the best ways to teach and learn mathematics?”

The entire piece is freely available here.  There are already a number of interesting student comments on the piece.  It’s certainly eye-opening hearing what they have to say about how they perceive effective math teaching.

By MrHonner, ago
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