Science and Engineering Practices Exit Ticket

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Constructing and revising explanations based on evidence.

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Scientific practice involves using empirical evidence to develop and refine explanations for natural phenomena.

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Refining designs to meet specific needs.

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Engineering practice focuses on improving and optimizing designs to fulfill specific requirements and constraints.

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Developing models to explain natural phenomena.

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Scientific practice includes creating representations (models) to illustrate and understand complex natural processes.

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Collaborating with others to solve problems and share ideas.

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Both scientific and engineering practices emphasize teamwork and communication in problem-solving.

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The process of asking questions and defining problems.

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This is a foundational step in both scientific inquiry and engineering design, guiding the direction of research and development.

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Using mathematics and computational thinking to analyze data.

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This practice is essential in both science and engineering for interpreting results and making predictions.

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Designing and conducting experiments to test hypotheses.

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A key aspect of scientific practice, where controlled experiments are used to validate or refute proposed explanations.

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Iterative testing and improvement of prototypes.

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In engineering practice, prototypes are repeatedly tested and refined based on feedback and performance.

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Analyzing and interpreting data to draw conclusions.

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This is a critical step in scientific practice, where data is evaluated to support or challenge a hypothesis.

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Creating and using simulations to predict outcomes.

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Both scientific and engineering practices utilize simulations to model complex systems and forecast results.