Teaching Initiative for Digital Education through AI

Integrating AI in Kinesiology, Sport, and Hospitality Management (KSHM)

Kinesiology, Sport, and Hospitality Management (KSHM)

Promoting Health, Performance, and Community Engagement

  • Exercise science and human performance
  • Sport management and recreation
  • Hospitality and tourism leadership
  • Research on wellness and active lifestyles

Our expertise range from Sport Management, Recreation Management, Tourism & Events Management, Sport & Recreation Studies, Kinesiology, Athletic Training

Showcasing Disciplinary AI in Teaching, Research & Outreach

AI in Sports Analytics and Performance: George Mason Leading Research

Insights from GMU Expert Craig Esherick

According to Craig Esherick, professor and coordinator of the Sport Management Program at George Mason University, AI is transforming sports by helping coaches, athletes, and organizations make more informed, data-driven decisions. Rather than replacing human expertise, AI serves as a powerful tool that analyzes large amounts of data and provides insights that support decision-making.

Key AI Use Cases in Sports:

  • Performance Analysis: AI analyzes player statistics and real-time game data to identify strengths, weaknesses, and optimal strategies.
  • Coaching Decisions: Coaches use AI-generated insights to make player substitutions, exploit opponent weaknesses, and improve game strategy.
  • Wearable Biosensors: AI-powered sensors track stamina, speed, reaction time, and biomechanics to improve training, prevent injuries, and support rehabilitation.
  • Talent Scouting and Recruitment: Teams use AI to evaluate prospects, predict performance, and inform personnel decisions.
  • Fan Engagement and Marketing: AI analyzes ticket sales, merchandise purchases, and fan behavior to strengthen marketing efforts and build team loyalty.
  • Enhanced Fan Experience: Technologies such as facial recognition can streamline stadium entry and improve game-day experiences.
  • Sports Broadcasting: AI provides real-time statistics, predictive insights, and visualizations that help viewers better understand game strategy and player decisions.

AI in sports demonstrates how data can be used to predict outcomes, optimize performance, improve business operations, and enhance human decision-making across multiple aspects of the sports industry.

Learn More https://cehd.gmu.edu/features/2025/08/25/how-ai-and-sports-analytics-are-teaming-up-to-transform-the-sports-industry/

More to come…

Description

Resources

Julius’ Notebook (data analytic tool) https://julius.ai/?via=jo (description here)