Tech & AI skills every sport Science, sport Management, and PE student should learn

in #education4 months ago

Churning out something from ChatGPT for record as I asked it to outline tech and AI skills sport science, sport management and physical education students will need to learn in this day and age.

I don't even know half of these...

In today’s fast-changing sport and education landscape, students need more than just domain expertise. Here's a comprehensive checklist of essential AI, coding, IT, and IoT skills to future-proof your career in Sport Science, Management, and Physical Education.


✅ Foundational Digital Literacy

  • 📊 Proficiency with Excel / Google Sheets
  • ☁️ Familiarity with cloud platforms (Google Drive, OneDrive)
  • 🔐 Basic cybersecurity awareness
  • 📱 Use of mobile apps for tracking and communication

🤖 AI Literacy (For Everyone)

  • 🧠 What is AI? Why it matters in sport
  • 🤖 Familiarity with AI tools: ChatGPT, AI video editors, smart coaching apps
  • ⚖️ Ethics in AI (bias, privacy, transparency)
  • 🏃 AI applications in:
    • Talent identification
    • Personalized training programs
    • Injury risk prediction
    • Fan engagement (for management students)

🧮 Coding & Data Science (Basic Level)

  • 📈 Understanding simple stats (mean, SD, correlation)
  • 🐍 Using Python or R to:
    • Analyze player or fitness data
    • Plot training load graphs
    • Process CSV/Excel files
  • 📓 Intro to Jupyter Notebooks
  • 🔌 API basics (e.g., fetching weather or sensor data)

🔬 Advanced Coding (Optional, for Interested Students)

  • 🖥️ Creating dashboards (e.g., Streamlit, Flask)
  • 🤖 Intro to machine learning (injury prediction, performance classification)
  • 🔁 Automating reports and data tasks
  • 📡 Handling sensor data with Python

📶 IoT & Wearable Tech

  • ⌚ Understanding devices like Garmin, Catapult, Whoop
  • 🧠 Basics of how sensors work (data collection → cloud)
  • 📊 Interpreting wearable output (GPS, HR, RPE)
  • 🔄 Data integration platforms (e.g., OpenField, AthleteMonitoring)
  • 📡 Understanding BLE, NFC, RFID in sport

🎥 Sport Tech Tools

  • 🧩 Video analysis (e.g., Hudl, Dartfish)
  • 🏃 Motion capture systems (e.g., Vicon, Kinovea)
  • 📈 Game performance tracking (SportsCode, StatSports)
  • 🧪 Fitness testing (timing gates, jump mats, force plates)

🧑‍🏫 For PE & Sport Management Students

  • 📚 Learning Management Systems (Google Classroom, Moodle)
  • 🕶️ AR/VR for virtual PE and immersive learning
  • 📆 Event management platforms (TeamSnap, LeagueApps)
  • 💬 CRM systems for fan/athlete interaction

🛠️ Project-Based Learning Ideas

  • 📊 Build a team dashboard
  • ⚽ Analyze open football tracking datasets
  • 🤖 Create a fitness chatbot
  • 🧘 PE lesson plans with AI feedback tools
  • 📝 Use AI to summarize student reflections

🗣️ Soft Skills with Tech

  • 🗣️ Communicating insights to non-tech audiences
  • 🤝 Collaboration on digital platforms
  • ❓ Questioning AI outputs (e.g., training load suggestions)