Teachers and families across the country are facing a new reality of providing opportunities for students to do science through distance and home learning. The Daily Do is one of the ways NSTA is supporting teachers and families with this endeavor. Each weekday, NSTA will share a sensemaking task teachers and families can use to engage their students in authentic, relevant science learning. We encourage families to make time for family science learning (science is a social process!) and are dedicated to helping students and their families find balance between learning science and the day-to-day responsibilities they have to stay healthy and safe.
Interested in learning about other ways NSTA is supporting teachers and families? Visit the NSTA homepage.
Sensemaking is actively trying to figure out how the world works (science) or how to design solutions to problems (engineering). Students do science and engineering through the science and engineering practices. Engaging in these practices necessitates that students be part of a learning community to be able to share ideas, evaluate competing ideas, give and receive critique, and reach consensus. Whether this community of learners is made up of classmates or family members, students and adults build and refine science and engineering knowledge together.
This task, Why do we all have to stay home? Secondary Version, provides guidance for secondary students to use models published in The Washington Post to figure out the relationship between social distancing and the spread of coronavirus through a community. Prompts are provided to help students engage in individual and shared thinking at various points in the lesson. Educators can modify the task for synchronous or asynchronous distance learning by providing digital spaces for students to share, critique, and build on one another’s thinking. If students are unable to connect virtually via internet or cell phone, encourage them to participate in the task (activities and discussions) with them.
You’ve probably already thought and talked about why school closures and other measures of social distancing are taking place all across the country right now. Find a thought partner—a sibling, an adult, or a peer—and talk with them briefly about these questions:
Many schools have closed across the country (has yours?) even when there were no known cases of the disease caused by the coronavirus among the students, staff, or visitors to those schools. With your thought partner(s), share and record your current thinking about why this is.
What tools can we use to predict how our individual and collective actions will impact the disease’s spread?
With your thought partner, make a list of ways that we can predict how what we do will impact the disease’s spread even before we take action.
One common tool that scientists use to help with making predictions are computer simulations. Maybe this idea was included in your list from Part 3. If it wasn’t, it probably connects to some ideas you did have!
Considering our questions and based on what you know about how viruses and other germs spread, what would you include in a computer simulation of the coronavirus/COVID-19 and its spread in our communities? With your thought partner, make a list of what you would like to be included. (Don’t worry about how to make the computer program right now; just brainstorm what would be in your ideal program).
Watch the videos of the first computer simulation below (or view them directly from the Washington Post article here). With your thought partner(s), reflect on the question in the title above. Also consider the following:
Run the improved simulation below (which you can also access via the Washington Post article) and answer the question in the title above. Note that this simulation represents a case in which no social distancing is attempted. Also consider these questions:
Be sure to use the Talk Tips and to continue to record your thinking.
Run the same simulation a second time. (In the video above, the simulation is run twice. Review both runs of the simulation in the video carefully, or go directly to the Washington Post article and run the simulation a few more times). Answer the question in the title above, and consider these questions:
Run the simulation with moderate social distancing (3 out of every 4 individuals in the population participate in social distancing). You can use the video below to view this simulation or run it yourself by going directly to the Washington Post article.
In addition to discussing the question in the title above, consider these questions: Why does this representation make sense based on what we know about social distancing and how the virus gets transmitted? What changes when we add moderate social distancing to the simulation?
Run the simulation with extreme social distancing (7 out of every 8 individuals in the population participate). You can use the video below (showing two runs of the simulation) or run it yourself by going directly to the Washington Post article.
Discuss and record your thinking about the title question. Run the simulation again. Why is it that even though there are random differences from one run of the simulation to the next, the results of this simulation and the previous one can help us predict what will happen as more individuals take social distancing seriously? What does this tell you about actions that you should take?
Though we don't have a simulation to represent this case, based on what you know about how social distancing is represented, what would happen in a simulation with 100% social distancing?
Also consider these questions: Why don’t we aim for this in our communities? Who cannot follow strict social distancing?
The Washington Post article suggests adding one more component to the simulation (deaths) that might make it more realistic. Brainstorm other components that could be added (answer the question in the title above).
Also consider this: What are some reasons it’s not possible (or necessary) to build a simulation that reflects every aspect of the real-world coronavirus/COVID-19 situation?
One thing the simulation doesn’t show is that different individuals who carry the virus have different responses. For example, while COVID-19 affects some people seriously, many people with the virus show very mild or no symptoms (they are asymptomatic). However, evidence suggests that these individuals can still pass the virus on to other individuals.
Discuss how does this information (in addition to the simulation data) impact your understanding of how we should respond to the virus.
Do you want to learn more about social distancing and the coronavirus/COVID-19? What questions do you still have? What ideas do you have for investigating these questions? Read these three articles for more information:
Do you want to learn more about how computer simulations predict how the coronavirus spreads through local and global communities? Want to see how well they predicted the spread? Read these two articles for more information:
Do you want to learn more about how computer simulations are used in other fields of science like climate science, ecology, or chemistry? What questions do you still have? What ideas do you have for investigating these questions? Read these three articles for more information.
NSTA has created a Why do we all have to stay home? collection of resources to support teachers and families using this task. If you're an NSTA member, you can add this collection to your library by clicking ADD TO MY LIBRARY, located near the top of the page (at right in the blue box).
The NSTA Daily Do is an open educational resource (OER) that can be used by educators and families providing students distance and home science learning. Access the entire collection of NSTA Daily Dos.
The coronavirus simulations used in these tasks are part of the story "Why Outbreaks Like Coronavirus Spread Exponentially and How to 'Flatten the Curve,'" published in The Washington Post on March 14, 2020.
Reports ArticleFrom the Field: Freebies and Opportunities for Science and STEM Teachers, August 9, 2022
Reports ArticleFrom the Field: Freebies and Opportunities for Science and STEM Teachers, August 2, 2022