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**.

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## ✅ 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  

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## 🤖 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)  

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## 🧮 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)  

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## 🔬 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  

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## 📶 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  

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## 🎥 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)  

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## 🧑‍🏫 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  

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## 🛠️ 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  

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## 🗣️ Soft Skills with Tech

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

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