Mouse AI League

Interested in Joining AI League? Please reach out to aileague@mouse.org.

A year-long, 60-hour course for middle and high school students, structured as six product development sprints that leverage our “learn, apply, build” approach. Students learn about computing, how AI works, and how data shapes decisions through human-centered design and market research, leading into building and pitching an app-driven product. This is our depth program that positions students for deeper upstream opportunities.

What Students Do?

• Explore how AI systems work and think computationally about problems in their communities.
• Learn Human-Centered Design and UX/UI so that they build user-centered digital solutions.
• Conduct market research, analyze existing products, and gather user insights.
• Build an interactive app prototype using the professional tool Figma.
• Present a Product Pitch to their school community and industry professionals.
• The top project team represents their school at our citywide competition, Emoti-Con.

The AI League curriculum consists of six Product Development sprints using a “Learn-Apply-Build” approach that supports career-connected and work-based learning with deeper learning experiences and teacher training.

Sprint 1: Discovery
Students explore how Al, data, and design work together to understand real-world problems. They analyze data, experiment with Al tools, and use these insights to create a rapid prototype solution to a design challenge.

Sprint 2: Empathize
Students develop empathy by exploring the experiences of people impacted by a community issue. They apply inclusive design and consider data privacy, Al ethics, and bias to understand how technology decisions affect real people.

Sprint 3: Define
In teams, students conduct user research by designing interview questions, analyzing responses, and synthesizing insights. They define a clear problem statement and create user personas, using Al tools to refine their understanding of user needs.

Sprint 4: Ideate
Teams synthesize research to identify gaps in existing solutions and design app ideas based on user needs. They brainstorm, refine, and select a solution, then create paper prototypes to visualize their design.

Sprint 5: Build
Students learn core UX/UI design principles and apply them using Figma. Teams create style guides, wireframes, and interactive mockups, integrating AI features and data-informed decisions while documenting their process and developing their presentation narrative.

Sprint 6: Beyond AI League
A flexible sprint where students take their career exploration further by creating an ePortfolio, developing career-ready materials, or researching pathways and opportunities connected to their dream career. 

Career Fluency
Throughout the program, students build career fluency alongside each sprint by exploring their interests, strengths, values, and the issues they care about. They connect these insights to the types of work that interest them, explore a range of career possibilities, and ultimately design a "dream career" that reflects the work they want to do, the impact they want to make, and the skills and interests they bring. 

AI League provides a strong starting-point to any school’s tech pathway and is a great opportunity for both NEW & EXPERIENCED CS & STEM Teachers. 

AI League teachers & schools receive:

• A maximum of 21 hours of Professional Learning opportunities providing implementation-focused learning, strategies, and resources.
• Standards-aligned lesson plans, with scope & sequence planning resources.
• Combination of Intentional and thoughtful virtual and on-site implementation support.
• Professional tech & design tools training, including Figma.
• Access to a team of industry professionals who support students through four unique classroom engagement opportunities.