AI in Esports

AI in Esports

• Grades: 6-12
• Number of Students: Up to 99, 250, or Unlimited
  
• Number of Lessons: 4 Main Topics
• Additional Resources: Flyer

Highlights:

Elevate your students' understanding of AI with a unique afterschool experience that combines the excitement of academic esports with hands-on learning. Dive into the history of AI, discover the powerful connection between gaming and AI, and explore what the future holds. Our curriculum features engaging video lectures and guided gameplay sessions designed to make learning interactive and impactful.

Curriculum or Lesson Topics:

Learning Objectives

• Students explore the evolution of AI in gaming, from simple NPCs in early arcade games to today’s advanced, lifelike characters, highlighting how technology has shaped game design over time.
• Students learn how AI is used to create dynamic gameplay and intelligent NPCs, focusing on techniques like pathfinding and procedural generation that make games more interactive and responsive.
• Students examine how machine learning enhances game design and esports by creating smarter AI, improving gameplay analysis, and boosting training tools for competitive players.
• Students discuss AI's ethical challenges in gaming, such as cheating, data privacy, and bias - and consider the responsibility of developers to create fair and transparent AI systems.

Technical Requirements:

• Laptop or Desktop running Windows or macOS
• Keyboard and mouse
• Access to a Game with AI (Fortnite, Rocket League, Chess, Etc)
• Headphones (recommended)