Engineering Design Process Unit Distance Learning

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    Engineering Design Process Unit - Teacher Notes


    Introducing the engineering design process to new STEM students can be tricky! In this complete unit, students will master the engineering design process and meet NGSS engineering performance expectations, including MS-ETS1-1, MS-ETS1-2, MS-ETS1-3, and MS-ETS1-4.

    The included 220 pages in print and digital resources can be used individually where they fit best within your course or taught in sequence as a unit. The Engineering Design Process Unit - Teacher Notes document details the suggested sequence of instruction.

    This bundle includes

    ♦ Detailed teacher notes for each lesson and activity

    ♦ Print and digital versions of student handouts and materials

    ♦ Slideshows to facilitate lessons

    ♦ 2 complete design challenges

    ♦ Embedded links to quality research video clips and articles

    ♦ Easy-to-use grading rubrics

    *The building items can be substituted for other readily available materials (e.g., wooden craft sticks, sheets of paper, flexible wire, etc.)



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    Total Pages
    220 pages
    Answer Key
    Included with rubric
    Teaching Duration
    3 Weeks
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    to see state-specific standards (only available in the US).
    Apply scientific principles to design a method for monitoring and minimizing a human impact on the environment. Examples of the design process include examining human environmental impacts, assessing the kinds of solutions that are feasible, and designing and evaluating solutions that could reduce that impact. Examples of human impacts can include water usage (such as the withdrawal of water from streams and aquifers or the construction of dams and levees), land usage (such as urban development, agriculture, or the removal of wetlands), and pollution (such as of the air, water, or land).
    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.
    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.
    Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.


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