Grade 6

Writing Standards

CCSS.ELA-LITERACY.W.6.1 Write arguments to support claims with clear reasons and relevant evidence.
CCSS.ELA-LITERACY.W.6.1.A Introduce claim(s) and organize the reasons and evidence clearly.
CCSS.ELA-LITERACY.W.6.1.B Support claim(s) with clear reasons and relevant evidence, using credible sources and demonstrating an understanding of the topic or text.
CCSS.ELA-LITERACY.W.6.1.C Use words, phrases, and clauses to clarify the relationships among claim(s) and reasons.
CCSS.ELA-LITERACY.W.6.1.D Establish and maintain a formal style.
CCSS.ELA-LITERACY.W.6.1.E Provide a concluding statement or section that follows from the argument presented.
CCSS.ELA-LITERACY.W.6.4 Produce clear and coherent writing in which the development, organization, and style are appropriate to task, purpose, and audience. (Grade-specific expectations for writing types are defined in standards 1-3 above.)
CCSS.ELA-LITERACY.W.6.5 With some guidance and support from peers and adults, develop and strengthen writing as needed by planning, revising, editing, rewriting, or trying a new approach. (Editing for conventions should demonstrate command of Language standards 1-3 up to and including grade 6 here.)
CCSS.ELA-LITERACY.W.6.7 Conduct short research projects to answer a question, drawing on several sources and refocusing the inquiry when appropriate.
CCSS.ELA-LITERACY.W.6.8 Gather relevant information from multiple print and digital sources; assess the credibility of each source; and quote or paraphrase the data and conclusions of others while avoiding plagiarism and providing basic bibliographic information for sources.
CCSS.ELA-LITERACY.W.6.9 Draw evidence from literary or informational texts to support analysis, reflection, and research.

Engineering Standards

MS-ETS1-1  Define the criteria and constraints of a design problem with sufficient precision to endure a successful solution, taking into account relevant scientific principles and potential impacts on people and the natural environment that may limit possible solutions. ETS1.A  Defining and Delimiting Engineering Problems
The more precisely a design task’s criteria and constraints can be defined, the more likely it is that the designed solution will be successful.   Specification of constraints includes consideration of scientific principles and other relevant knowledge that are likely to 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. ETS1.B  Developing Possible Solutions
A solution needs to be tested, and then modified on the basis of the test results, in order to improve it.There are systematic processes for evaluation solutions with respect to how well they meet the criteria and constraints of a problem.
MS-ETS1-3  Analyze data from test 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. ETS1.B  Developing Possible Solutions
Because there is always more than one possible solution to a problem, it is useful to compare and test designs.ETS1.C  Optimizing the Design Solutions
Although one design may not perform the best across all tests, identifying the characteristics of the design that performed the bets in each test can provide useful information for the redesign process-that is, some of those characteristics may be incorporated into the new design.


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. ETS1.B  Developing Possible Solutions
A solution needs to be tested, and then modified on the basis of the test results, in order to improve it.  Models of all kids are important for testing solutions.ETS1.C  Optimizing the Design Solutions
The iterative process of testing the most promising solutions and modifying what is proposed on the basis of the test results leads to greater refinement and ultimately to an optimal solution.

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