Assessment Examples:
From SE Activities/Human Drivers:
Example 1:
Claim:
Population, Affluence, and Technology are major drivers of GHG emissions at the national level
Evidence:
National longitudinal
datasets on population, CO2 or methane emissions, GDP, other variables.
Practice of Scientists:
Multivariate Regression of panel data on GHG emissions from various nations over time (generate the Kaya Mathematical Identity).
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Team Member Robert Kopp created this assignment:
Questions in this example cover a range of computational and scientific practices. While responses are evaluated in terms of accuracy, practices can also be evaluated using the patterns/interpretation rubric.
Example 2:
Claim:
Humans use energy for transportation, sustenance (meat), thermal comfort, hygiene, making structures, communications and lighting.
Evidence:
National longitudinal data sets on population.
Practice of Scientists:
Computations and extrapolations based on energy sectors.
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Team Member Robert Kopp also created this assignment:
Example 2:
Claim:
Humans use energy for transportation, sustenance (meat), thermal comfort, hygiene, making structures, communications and lighting.
Evidence:
National longitudinal data sets on population.
Practice of Scientists:
Computations and extrapolations based on energy sectors.
___________________________________________________________
Team Member Robert Kopp also created this assignment:
Questions in this example cover a range of data collection and analysis strategies. Again, while responses are evaluated in terms of accuracy, practices can also be evaluated using the patterns/interpretation, investigations, and argumentation rubrics.