Curriculum
- 1 Section
- 6 Lessons
- 6 Hours
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- Curriculum6
- 1.1Module 1: Introduction – The Intersection of STEM, Fitness, and Critical Thinking12 Minutes
- 1.2Module 2: The Science of Movement – Physics and Biomechanics4 Minutes
- 1.3Module 3: Nutrition and Biochemistry – Fueling Your Body10 Minutes
- 1.4Module 4: Technology in Fitness – Data-Driven Decision Making7 Minutes
- 1.5Module 5: Critical Evaluation of Health Information12 Minutes
- 1.6Module 6: Designing Your Personalized Fitness Plan10 Minutes
Module 4: Technology in Fitness – Data-Driven Decision Making
Learning Objectives:
- Identify and use fitness technologies (wearables, apps) to monitor exercise performance.
- Analyze data from fitness trackers to assess progress and adjust training plans.
- Develop skills in interpreting data trends to inform personal fitness strategies.
Topics Covered:
- Overview of fitness tracking devices and apps.
- Basics of data analysis: trends, averages, and variability.
- How to integrate technology into a personalized fitness routine.
Activities & Assignments:
- Hands-On Activity: Use a wearable device to record exercise data over several sessions.
- Data Analysis Workshop: Interpret a sample dataset from fitness trackers.
- Dashboard Project: Create a personal fitness data dashboard (using Excel or a similar tool) and provide an analysis of your performance trends.