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)