INV-H6 | Science & Engineering Practices
Manipulate variables and collect data about a complex model of a proposed process or system to identify failure points or improve performance relative to criteria for success or other variables.
NGSS Science & Engineering Practices
Find free, ready-to-teach resources aligned to INV-H6. Designed with teachers and artists, in partnership with STEM researchers.
INV-H6 | Science & Engineering Practices
Manipulate variables and collect data about a complex model of a proposed process or system to identify failure points or improve performance relative to criteria for success or other variables.
Created with purpose: see how resources connect to this standard.
Showing 2 of 2 units
Animal Collective: How group behavior can produce surprising problems—and solutions!
Students will draw their own social networks, ponder the meaning of complexity and begin to notice unexpected patterns that emerge around them, unnoticed. Through hands-on activities and digital experiments, students will discover how complexity research enriches our daily lives.
Alignment summary( Connected)
Lesson 4
Students will run multiple trials using the "Swimming in the Dark" simulation. They will look at the impact of new data on the running average to understand relative impact of different variables.
Included resources
6 lessons and 3 supporting media items.



Lesson 3



Lesson 6
Mā te rauhiringa tātou e ora: Powerful Solutions: How do we provide sustainable energy to communities?

Learn about the energy all around us through a hands-on power generating lab, a web app exploring resilient energy mixes, and stories about Māui’s innovation. In Te Reo Māori, the unit title translates to "It is through positive energy that we thrive." This unit connects to Māori leadership in self-sufficiency and sustainability as inspiration for the future of energy engineering!
Alignment summary( Connected)
Lesson 2
In Lesson 2, students collect data from their experimental models, then compute secondary and tertiary quantities related to the models. Based on these data, they propose improvements to the models or experiment.
Included resources
3 lessons and 6 supporting media items.
Lesson 1
Lesson 2
Supporting apps and videos

