To check this perception with a wider group, Levitt and his colleagues at the University of Chicago did a survey of visitors to the Freakonomics website asking what kinds of math they used on a daily basis, and 913 people responded. Boaler, LaMar, and Williams saw the results and noticed that almost 3/4 of the respondents were men, so they asked the same questions of education leaders; 427 responded, mostly women. Strikingly, the responses from the two groups were quite similar. Here are the percentages in each group saying they used each kind of mathematics “daily”:
Freakonomics Educators
- Use Excel/Google sheets 66 56
- Access and use databases 42 37
- Analyze and interpret data 31 21
- Visual data 23 12
- Algebra 11 4
- Geometry 4 0
- Calculus 2 1
- Trigonometry 2 0
The percentages who said they “never” used algebra, geometry, calculus, and trigonometry were 28, 50, 70, and 79 respectively for the Freakonomics group and 41, 59, 71, and 82 for the educators.
Clearly these adults don’t use much of the math they learned in school – but they do make heavy use of data knowledge and tools. “For generations,” say Boaler, LaMar, and Williams, “high schools in the United States have focused on one course as the ultimate, college-attractive, and high-level course – calculus. This has led to a heavy focus on algebraic content in the earlier years even though a tiny proportion of students in the school system take calculus. When students do take calculus, it is often taken after rushing through years of content without the development of deep understanding.” And most students who take calculus in high school end up repeating it in college, or taking a lower-level course.
The Common Core standards put more emphasis on data and statistics – but not enough, say the authors, which is why some states, including California, are beefing up data literacy in their curriculum standards. In that spirit, the Stanford and University of Chicago teams joined with colleagues around the world and spent 18 months thinking through what needs to change. “It quickly became clear,” say Boaler, LaMar, and Williams, “that all students – starting from the youngest in prekindergarten to those in college – need to learn the mathematics that will help them develop data literacy, to make sense of the data-filled world in which we all live… Whatever job your students go into, they will be making sense of data… Data awareness and data literacy are needed to not only be an effective employee but also function in the modern world… If we do not help students become data literate, they will be vulnerable to people who are misrepresenting issues and data.”
This line of thinking has spawned an initiative called YouCubed; the website has had more than 51 million visitors so far. It includes a series of “data talks,” which show students a data representation and ask, What do you notice? and What do you wonder? Among the topics: basketball, endangered species, popular dogs, and data ethics. Here’s an example of a middle-school data talk (see the article link below for more). Naturally, Boaler, LaMar, and Williams advocate a K-12 curriculum with an alternative pathway focused on data science and statistics. “Research suggests that the content of such a pathway is much more engaging for broader groups of students,” they say, “providing more-equitable participation in higher-level courses.”
“Making Sense of a Data-Filled World” by Jo Boaler, Tanya LaMar, and Cathy Williams in Mathematics Teacher: Learning & Teaching PK-12, July 2021 (Vol. 114, #7, pp. 508-517); the authors can be reached at joboaler@stanford.edu, tlamar@stanford.edu, and cathyw11@stanford.edu.
Please Note: This summary is reprinted with permission from issue #897 of The Marshall Memo, an excellent resource for educators.
