Leaderboard | | Engineering 8th Grade Yearlong Scope and Sequence | |
Overarching Question: | | How can solve the problems that plague our world? | |
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Unit of Study:
| | Intro to class | Reverse Engineering | Exploravision | Charity fair | Board Game | Helmet Challenge | Dome Collapse | Genius Hour | Other possibilities |
Approx Unit Length: | | 15 days | 15 days | 20 days - Competition deadline around Feb 1 | 15 days | 20 days | 15 days | 15 days | 30 days | |
Essential Question(s): | | How can we become better collaborators? | What can I learn from what others have made? | How can I solve a real world problem? | How can I make a difference? | How can I solve a real world problem? | How can I protect others from fatal injuries? | How can I build a structure that will withstand the elements? | How can I develop my skills? | |
Storyline: (Students' role) | | | You are a member of an engineering firm looking to be hired to develop new products. | You are a member of an engineering competition team, trying to solve a problem that affects you, youyr community or a community in another country. | You are a product developer creating a new product to sell for charity | You are a member of a design firm, developing a new game to teach a concept | You are a sports equipment designer, creating a helmet that will diminish the risks associated with playing a contact sport. | You are a structural engineer, hired by the Metrodome to solve their roof collapse | Student choice project | Career exploration:http://mariana68.wixsite.com/engineering-careers |
Lesson Progressions: These are not lesson plans but rather the resources I use to teach | | Introduction to the class | Reverse Engineering | Global Goals - Exploravision | Charity Fair Project | Board Game | Helmet Challenge | Dome Collapse | Genius Hour | Folder w/ EiE units |
Disciplinary Core Ideas | | | ETS1.C: Optimizing the Design Solution | ETS1.A: Defining and Delimiting Engineering Problems | ETS1.A: Defining and Delimiting Engineering Problems | ETS1.A: Defining and Delimiting Engineering Problems | ETS1.A: Defining and Delimiting Engineering Problems | ETS1.A: Defining and Delimiting Engineering Problems | ETS1.A: Defining and Delimiting Engineering Problems | Science, the Poetry of Reality |
| | ETS1.B: Developing Possible Solutions | ETS1.B: Developing Possible Solutions | ETS1.B: Developing Possible Solutions | ETS1.B: Developing Possible Solutions | ETS1.B: Developing Possible Solutions | ETS1.B: Developing Possible Solutions | Future City |
| | ETS1.C: Optimizing the Design Solution | ETS1.C: Optimizing the Design Solution | ETS1.C: Optimizing the Design Solution | ETS1.C: Optimizing the Design Solution | ETS1.C: Optimizing the Design Solution | ETS1.C: Optimizing the Design Solution | Stop the Spread |
| | | | | | | | Character Sketches |
| | | | | | | | Young Scientist Challenge - Individual - Deadline in Mid April |
Performance Expectations | | | 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-ETS1-1. 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-ETS1-1. 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-ETS1-1. 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-ETS1-2. Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem. | 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. | Asteroid Impact |
| | 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-ETS1-2. Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem. | 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-ETS1-3. 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-ETS1-2. Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem. | Bridges |
| | 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-ETS1-3. 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-ETS1-3. 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-ETS1-3. 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. | 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. | 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. | | | 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. | |
Science and Engineering Practices (SEPs): | | | 8. Obtaining Evaluating and Communication Information | 1. Asking Questions and Defining Problems | 1. Asking Questions and Defining Problems | 1. Asking Questions and Defining Problems | 1. Asking Questions and Defining Problems | 1. Asking Questions and Defining Problems | 1. Asking Questions and Defining Problems | |
| | | 2. Developing and Using Models | 2. Developing and Using Models | 2. Developing and Using Models | 3. Planning and Carrying Out Investigations | 4. Analyzing and Interpreting Data | 2. Developing and Using Models | |
| | | 4. Analyzing and Interpreting Data | 4. Analyzing and Interpreting Data | 4. Analyzing and Interpreting Data | 6. Constructing Explanations and Designing Solutions | 6. Constructing Explanations and Designing Solutions | 4. Analyzing and Interpreting Data | |
| | | 7. Engaging in Argument from Evidence | 7. Engaging in Argument from Evidence | 7. Engaging in Argument from Evidence | | | 7. Engaging in Argument from Evidence | |
Crosscutting Concepts (CCC): | | | 1. Patterns | 2. Cause and Effect | 2. Cause and Effect | 2. Cause and Effect | 5. Energy and Matter | 6. Structure and Function | 2. Cause and Effect | |
| | | 4. Systems and System Models | 3. Scale Proportion and Quantity | 4. Systems and System Models | 3. Scale Proportion and Quantity | 4. Systems and System Models | 4. Systems and System Models | |
| | | 6. Structure and Function | 6. Structure and Function | 6. Structure and Function | | | 6. Structure and Function | |
| | | 7. Stability and Change | | 7. Stability and Change | | | 7. Stability and Change | |