3 (1 reviews)
1 Wrong PE listed
Reviewed by: Loretta A (Las Vegas, NV) on 10/23/2017 4:01:05 PM
The wrong PE is listed for this lesson.
In this lesson, students will learn about the Yellowstone hotspot. They will analyze ground height data to determine how the magma in the Yellowstone hotspot is moving. Using their analysis of the ground height data, students will engage in argument from evidence to support their decision on where to build a new research center. Students look at past volcanic activity at Mt Saint Helens to predict future eruptions. Students also look at seismicity, hydrothermal activity, and eruptive history of Yellowstone National Park to make their decision.
HS-ESS2-2 Analyze geoscience data to make the claim that one change to Earth's surface can create feedbacks that cause changes to other Earth systems. Clarification Statement: Examples should include climate feedbacks, such as how an increase in greenhouse gases causes a rise in global temperatures that melts glacial ice, which reduces the amount of sunlight reflected from Earth's surface, increasing surface temperatures and further reducing the amount of ice. Examples could also be taken from other system interactions, such as how the loss of ground vegetation causes an increase in water runoff and soil erosion; how dammed rivers increase groundwater recharge, decrease sediment transport, and increase coastal erosion; or how the loss of wetlands causes a decrease in local humidity that further reduces the wetland extent. Assessment Boundary: none
This resource is explicitly designed to build towards this performance expectation.
Comments about Including the Performance Expectation This activity allows students to analyze geophysics data (GPS height data over time, seismicity, hydrothermal activity, and eruptive history in Yellowstone National Park) to explore how the Yellowstone hotspot is changing over time. The changes that are found in the data will affect where the students choose to build a new research center. These changes may include changes in height, location of water (lakes), and stability of land under the new research center.
This resource is explicitly designed to build towards this science and engineering practice.
Comments about Including the Science and Engineering Practice This activity has students analyzing data (GPS heights over time, seismicity, hydrothermal activity, and eruptive history in Yellowstone National Park) in order to make valid claims based on the currently available data. The data is analyzed to find the best location for a new research center. This area needs to be the most stable location over time.
This resource is explicitly designed to build towards this disciplinary core idea.
Comments about Including the Disciplinary Core Idea When students work through this activity they will analyze GPS height data over time that will allow them to see changes over time that are caused by the movement of magma in the Yellowstone hotspot.The height of various points across the area being studied will rise or fall indicating the motion of magma beneath Yellowstone National Park.
This resource appears to be designed to build towards this crosscutting concept, though the resource developer has not explicitly stated so.
Comments about Including the Crosscutting Concept The activity has students analyzing GPS data on ground heights over time, seismicity, hydrothermal activity, and eruptive history in Yellowstone National Park. The data will show changes in ground height over time that varies at different locations. Students must base their decision on where to build the new building on the changes (or lack of changes) that they determine from the analysis of the ground changes. This is the end result of the activity. However, a discussion time could be added to reinforce the notion that science deals with constructing explanations of how things change over time. For example, one question might be “how did the inclusion of additional GSP data in the second half of the lesson influence your original decision for the location of the new research center?” Or “How can an increased data set influence the interpretation of this data set?”