The purpose of this lesson is to use a ruler to measure length.
Included is a YouTube video to support Grade 3 Blended Learning Math - Unit 4.4: Measurement - Using a Ruler
In this open-ended, hands-on activity that provides practice in engineering data analysis, students are given gait signature metric (GSM) data for known people types (adults and children). Working in teams, they analyze the data and develop models that they believe represent the data. They test their models against similar, but unknown (to the students) data to see how accurate their models are in predicting adult vs. child human subjects given known GSM data. They manipulate and graph data in Excel® to conduct their analyses.
Gait analysis is the study of human motion that can be utilized as biometric information or identification, for medical diagnostics or for comparative biomechanics. In this activity, students observe walking human subjects and then discuss parameters that could be used to characterize walking gaits. They use accelerometers to collect and graph acceleration vs. time data that can help in gait analysisâall part of practicing the engineering data analysis process. Students complete this activity before learning the material presented in the associated lesson.
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The following file contains the assets (or resources) to accompany the Sask DLC Workplace & Apprenticeship Mathematics 10. Please note that this is not the content of the course, but the assets used to support and deliver it. The files are organized in a zipped folder. You can download it and extract the files. Links are also provided to other materials like videos and other suggested resources.
After students have complete the associated activity to collect and graph acceleration data from walking human subjects, they learn more about gait analysis---the study of human motion, which is used as biometric data for human medical diagnostics and (non-human) comparative biomechanics. They learn about the steps that comprise the universal process of engineering analysisâdata collection, data analysis, mathematical modeling and reportingâand consider how these steps could be applied to analyze a person's gait, which prepares them to conduct the second associated activity.