DLCS18.HS.37
Evaluate the ability of models and simulations to test and support the refinement of hypotheses.
Evaluate the ability of models and simulations to test and support the refinement of hypotheses.
UP:DLCS18.HS.37
Vocabulary
- model
- simulations
- hypotheses
- phenomena
- target system
Knowledge
Students know:
- how to explain the use of models and simulations to generate new knowledge and understanding related to the phenomena or target system that is being studied.
- how to explain the ability of models and simulations to test and support the refinement of hypotheses related to phenomena under consideration.
- that modeling and simulations are way to extrapolate and interpolate unrest situation and scenarios to help formulate, test and refine hypotheses.
- how to form a hypothesis.
- how to test a hypothesis.
- how to create a model or simulation.
- that simulations or models can be created to test a hypothesis but not provide the information expected or intended.
- that it is vital to verify the data being generated by a model or simulation.
Skills
Students are able to:
- use a diagram or program to represent a model to express key properties of a phenomena or target system.
- research existing models and simulations and how they are used to test and refine hypotheses.
- explain how existing models and simulations are used to test and support the refinement of hypotheses.
- create a model or simulation to formulate, test, and refine a hypothesis.
- utilize a model or simulation to formulate, test, and refine a hypothesis.
- form a model of a hypothesis.
- test the hypothesis by collecting and analyzing data from a simulation.
- examine a model or simulation to determine the correctness of the generated data.
- examine a flawed model or simulation and identify areas in which it is providing incorrect data.
Understanding
Students understand that:
- a simulation is based on a model and enables observation of the system as key properties change.
- the accuracy of models and simulations are limited by the level of detail and quality of information used and the software and hardware used.
- models and simulations are an effective and cost efficient way to understand phenomena and test and refine hypotheses.
- models and simulations are way to extrapolate and interpolate unrest situation and scenarios to help formulate, test and refine hypotheses.
- models and simulations can be the only cost- ot time-effective way to test a hypothesis.
- Models and simulations can save money, are safer, usually requires less time, and do not have the environmental impact that a full experiment or operational test may induce.
- while a process may operate without errors, that does not guarantee that the process is providing accurate data to meet your needs.