Proportion | Standard | Indicators | Repetition | Proportion % |

Scientific and engineering practices | Asking questions and identifying problems | Asking questions by formulating testable questions. | 2 | 5% |

Identifying the design problem that can be solved by developing an object, tool, process or system. | 0 | 0.0% | ||

Identifying scientific principles and other knowledge relevant to the problem. | 1 | 25% | ||

Developing and using models | Developing a model that represents the optimal design to solve a problem. | 0 | 0.0% | |

Data Analysis and interpretation | Data analysis to identify similarities and differences between several solutions to determine the best solution to a problem. | 1 | 25% | |

Engaging in the presentation of arguments accompanied by evidence | Evaluating competing design solutions in the light of their relevance to design standards. | 0 | 0.0% | |

The Total | 4 | 100% | ||

Disciplinary Core Ideas | Defining and identifying the engineering problems | Identifying which design should be available in the light of the scientific knowledge. | 2 | 12.5% |

Identifying standards and constraints that may limit possible solutions to problems. | 2 | 12.5% | ||

Developing possible solutions | Testing the possible designed solutions that will be most likely to succeed. | 3 | 18.75% | |

Determining the appropriateness of possible solutions to relevant standards and constraints. | 2 | 12.5% | ||

Testing the suitability of different designs to solve a problem. | 2 | 12.5% | ||

Effectiveness of designs | Combining several solutions to reach the best result. | 3 | 18.75% | |

Determining the best properties for designs that can be included in a successful design. | 0 | 0.0% | ||

Stressing on repeating the test of possible solutions and modify what is proposed based on the test results to reach the optimal solution. | 2 | 12.5% |