In this unit students will follow the engineering and design cycle process to develop solutions to problems.
Priority Standards
MS-ETS1-1: Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles and potential impacts on people and the natural environment that may limit possible solutions.
MS-ETS1-2: Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.
MS-ETS1-3: Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success.
MS-ETS1-4: Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved.
Essential Questions
How do scientists ensure that potential solutions to a problem will meet the needs of the intended goal/audience/purpose?
How do scientists make informed decisions about potential solutions and prototypes?
Big Ideas
Scientists define the problem, identifying criteria and constraints before designing potential solutions.
Scientists test and analyze potential solutions to determine solutions most valid for prototyping and to refine those prototypes.
MS-ETS1-1: Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles and potential impacts on people and the natural environment that may limit possible solutions.
MS-ETS1-2: Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.
MS-ETS1-3: Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success.
MS-ETS1-4: Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved.
Essential Questions
How do scientists ensure that potential solutions to a problem will meet the needs of the intended goal/audience/purpose?
How do scientists make informed decisions about potential solutions and prototypes?
Big Ideas
Scientists define the problem, identifying criteria and constraints before designing potential solutions.
Scientists test and analyze potential solutions to determine solutions most valid for prototyping and to refine those prototypes.
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VocabularyCriteria
Constraints Prototype Analyze Engineer Design Revise Evaluate Solutions Feedback |
AssessmentsStudents are provided a problem and are required to follow the engineering/design cycle to develop potential solutions.
Students will solve the egg drop problem. |