Embedded Files
Using the Data to Inform Decisions
Connections:
As students analyze and interpret their data, they need to make sure they analyze their results based on the criteria and constraints identified. Consider that when students interpret data, they will want to look for evidence that meets the criteria and constraints developed from the client's needs and make decisions for iteration based on those results.
Objective(s):
- Develop the strategies to teach students to use, analyze, and interpret data to inform decisions.
- Set up tests designed to evaluate the design outcome against criteria. Click on the purple icon below to view the course content.
Examples:
There are many opportunities for students to start using data to make decisions. In what way or ways might students use data in your bite-sized experience? Here are some examples:
Review the problems, solutions, and data collected by all student groups, then evaluate which best addresses the problem and constraints.
Have the class organize the data that was collected and describe how they organized the data and how those choices help them analyze it. (Explain their thinking)
Use tables, graphs, or other visuals to identify and describe patterns they see in the data.
Use logic or mathematical reasoning to explain their thinking around the data.
Represent the data they collected in at least two different ways and compare the two representations as it relates to patterns they identified.
Analyze the data and propose changes to their process to improve the testing and/or solution.
Use digital tools to show their data findings.
Application:
As students get started using data, remember that the goal is to help them start thinking about the meaning of their data as it relates to their problem. These tasks are meant to help students in the process of learning how to use data to inform decisions. They aren’t yet expected to be experts on data-driven solutions, but these small experiences will give them a start!
With your Bite-Sized Experience Team, choose one of the ways students will use data from the above list (or create one of your own), then personalize it to fit your bite-sized experience. Will students be using this data to test their solution or for another purpose? Record ideas on your team note-taking document and discuss them with your School Liaison.
Reflection:
Keep in mind that data collection and analysis are important to the engineering design process. As you add data analysis in future design experiences, how might you help students to analyze data?
Additional Resources:
Want more information about student data analysis? You might explore these resources.
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You have reached the end of Module 3!
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