Environmental Injustices
Students use data and maps to investigate environmental injustices across San Francisco districts, applying two-way tables to quantitatively explore the lasting impacts of historical redlining on communities.
Invisible Threats: Ocean Acidification and the Climate Connection
Students will be learning about climate change, learning how carbon dioxide is being released into the atmosphere from fossil fuels, volcanos and livestock.
Ocean Acidification: Exploring Math Models to Draw Conclusions
Data collection through a simulation of ocean acidification will demonstrate the effects on coral reefs. Statistical analysis of bivariate data and conclusions of human impact on the environment are central themes.
ReDesigning Spaces
Students work in teams to redesign a student-used area on campus or create a new space, following the design thinking process. They will interview peers, analyze data, and synthesize information to create a “composite user” profile, then present a physical model of their improved space.
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The Price of a Sip
Students will compare potable water (tap, bottled, mineral), its cost, taste, safety, and unseen costs (consequences) of drinking certain types of water. They will use the data to determine which is the least expensive (most accessible), safest, eco-friendly.
Which Cluster Does it Belong To?
Given the rise of information and data in today’s world, we need various methods and approaches to analyze them, whether it is to make predictions from given information or to categorize them into different groups based on observed trends.
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Adapting Private Sector Staff Mechanisms in Schools to Foster Efficiency, Collaboration, and A Culture of Respect
In an increasingly difficult world for educators, both teachers and administration are looking for ways to increase teacher retention.
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Save My Water!
The benefit of choosing low-water use food on water conservation is communicated through a public service announcement for a student-run news station.
Water Stories
Students will view and analyze a model PSA and learn about the sewer system in San Francisco.