Thank you to Carli Spina and School Library Journal for featuring the work of our project alongside that of Eleanor Tutt and her team at Carnegie Library of Pittsburgh and Catherine d’Ignazio and Samantha Viotty of Emerson College’s Engagement Lab. From Spina’s article:
Data is all around us, from the output of your Fitbit to interactive maps that track voters to the latest visualization of the New York Times front page. With the rise of mobile devices and wearable technology, data is more available to general audiences, and the amount being generated has also exploded …
One reason data literacy is vital is that “[i]n what some are calling a ‘post-truth world,’ students seem to focus on numbers a lot,” says Jo Angela Oehrli, learning librarian/children’s literature librarian at the University of Michigan Libraries. Students believe that if a number is connected to information, “it has to be a fact. But numbers are manipulated all of the time….We want students to have a tool kit of questions that they can use to question the data that is out there.”
To this end, Oehrli and Kristin Fontichiaro, clinical associate professor at the University of Michigan School of Information, have been leading an IMLS-funded project called Supporting Librarians in Adding Data Literacy Skills to Information Literacy Instruction. Through data literacy programs and data science training, librarians can ensure that students develop the skills to question and interpret data in the news or that they generate through their day-to-day activities. They might even set some students on the path toward a career in the expanding field of data science …
There are many resources that support teaching data literacy, no matter your background …
All of these tools can serve as the basis of a larger conversation about the role of data in public discussions, such as the way that schools use student data to make curriculum decisions or how local governments track traffic data to make decisions about signage and stoplights, and what questions students should ask when they encounter data and visualizations in their daily lives.
For those who want to go even further, the University of Michigan initiative Supporting Librarians in Adding Data Literacy Skills to Information Literacy Instruction has brought together a group of data and curriculum design experts to create professional development resources for librarians.
The team has also written two books due out this fall, Creating Data Literate Students, which collects chapters by the curriculum experts on teaching data literacy in the classroom, and Data Literacy in the Real World: Conversations and Case Studies (both Maize Books), which will collect approximately 40 case studies about data literacy. The duo is also presenting a poster about their work, “Real Strategies to Address Fake News: Librarians, Data Literacy, and the Post-Truth World,” at the 2017 ALA Annual Conference this month.
The overarching message from all and other data initiatives? Don’t be scared by it. The goal is that “high school librarians will start to feel comfortable talking about data literacy issues with their students and fellow teachers,” Oehrli says.
“So many librarians were humanities majors with little exposure to data, and so many classroom teachers think of data in terms of test scores,” adds Fontichiaro. “By focusing on high-impact strategies, we want librarians and teachers to feel empowered by data, not victimized by it. Our early efforts show that a little knowledge has significant impact.”
You can read the entire article here. By the way, you can catch Catherine and Sam’s presentation on the easy-to-use data analysis tools at http://databasic.io if you tune into the closing keynote of the 4T Data Literacy Conference on Friday, July 21. Check out the schedule and register here!
Interested in how to combat Fake News? Check out Library Journal’s upcoming workshop series June 6 – 20, featuring our project team member Angie Oehrli!
Libraries are one of the few institutions that most Americans still trust. In polarized times, they can serve as nonpartisan, non-judgmental sources of accurate information—and, just as important, help users learn to evaluate the information they encounter every day. Claims of “fake news” have vaulted once-dry information literacy into the spotlight. To seize the teachable moment, this online course will offer up-to-date tools and effective tactics to enable patrons to critically assess sources, facts, and context.
Over the course of three weeks, participants will listen in on live keynote sessions and receive personal attention and resources from a dedicated advisor in an online coaching environment. Participate in online discussion groups, where you can share and gather resources and best practices and with peers from across the country.
We’re excited to announce that the 2017 4T Data Literacy Virtual Conference dates have been announced! We’ll meet virtually on July 20-21, 2017. This year, we’re focusing our presentations on three (and a half) themes:
- Big Data, including citizen science
- Ethical data use
- Personal data management
Registration and more details will be forthcoming soon. If you registered last year, you’re already on our list and will let you know when it’s time to sign up!
Numerical estimates, such as ballpark figures or “guesstimations,” abound in school, work, and our lives. For example, you can roughly calculate the impact of shopping with a reusable grocery bag, instead of using plastic bags, for a year. But how can anyone know that? How do we make sense of “guesstimations?” Are they even grounded in good mathematical principles?
Our team member Connie Williams shared a video of a talk by Dr. Lawrence Weinstein, a professor at Old Dominion University. In his lecture, “Guesstimating the Environment,” he points out that “guesstimations” are inherently imprecise. He covers the use of “guesstimations” in topics ranging from ethanol to windmills and considers issues by calculating estimates. While “guesstimations” are imprecise, they do provide a way to understand the scope of a problem.
Watching this lecture, or a portion of it, could spark a discussion about “guesstimations” in the news and academic resources with your students. Some questions to discuss include:
- Where do “guesstimations” appear?
- What purposes do “guesstimations” serve?
- What are the limitations of “guesstimations?”
- What are appropriate uses and applications of “guesstimations?”
Dr. Weinstein also asks a key question about a “guesstimation:”
Is this a lot or a little?
It can be hard to know if a “guesstimations” is big or small. Consequently, Dr. Weinstein emphasizes the need to compare the numbers to something else. A comparison is a great way to make sense of numbers, whether they are estimates, actual counts, probabilities, or statistics. When creating or evaluating “guesstimations,” a helpful rule of thumb is to find something with which to compare it or help to put it in context. In the grocery bag example, he explains how to compare a person’s annual use of plastic bags to gasoline burned by driving her car. It turns out that the amount of plastic bags that an individual uses is insignificant compared to how much gas that her car burns. The lecture contains many more examples like this — have a look!
Image: “Bags Plastic Shopping Household Colorful Sunny” by BRRT, on Pixabay. CC0 Public Domain.
Oakland County educator (and U-M grad!) Jianna Taylor wrote on the Oakland Schools Literacy blog about her attendance at the 4T Data Literacy conference. She said, in part:
I attended multiple sessions, on topics ranging from an introduction to data literacy, to data literacy in the content areas, to action research in the classroom. For this conference, I was most looking forward to the sessions about data visualization and infographics, though. I’ve dabbled with making infographics and have always wanted to have students create them, but I was never sure how to go about doing that, because I didn’t feel that I had a design background.
As the presenters were speaking, something that one of them said really struck me: think of an infographic like an argumentative essay. The infographic itself is the overall argument. The images, design, and information are the evidence and reasons.
Thinking about infographics in this way was like a light bulb going off in my head. Writing arguments with supporting evidence is something students are well versed in, and moving from a traditional essay to a different argumentative form seemed like a great next step.
Thanks for the feedback, Jianna! You can read more of her reflection here.
A well-made infographic can be an efficient, compelling, and impactful medium for communication. But making a good one can be tougher than it looks.
Attendees at the two-part infographics session gave it high marks. Hosted by Susan Smith, Connie Williams, and Debbie Abilock, the session provided insight into how we can guide students into deeper reading of infographics as well as construction of new infographics.
We’ve added Connie and Debbie’s article, “Recipe For an Infographic,” to the Schedule page. You can also find session-related links below.
The first 4T Virtual Conference on Data Literacy is this week Thursday, July 14, and Friday, July 15. Join us to learn about building the data and statistical literacy of high school students. Attendance is free, and all are welcome!
Please complete the registration to attend or receive information about archived sessions.
See the Frequently Asked Questions for more information about attending.
We are looking forward to seeing you in our online sessions soon!