AI Quests – An AI Education Tool Co-Launched by Google and Stanford

What is AI Quests?

AI Quests is a gamified educational tool jointly launched by Google Research and the Stanford Accelerator for Learning. Through immersive adventure activities, it enables students aged 11 to 14 to learn about artificial intelligence (AI) and its real-world applications. Students take on the role of Google researchers, solving problems related to climate, health, and science. The first quest focuses on flood prediction, with future quests including diabetic retinopathy detection and brain mapping. Each quest comes with lesson plans, teacher guides, and video messages from real researchers to help students understand AI’s practical applications.

Key Features of AI Quests

• Immersive Adventure Learning: Uses gamification to place students in a fantasy world where they act as AI researchers, guided by Professor Skye through a series of immersive quests.

• Real Research-Based Tasks: Core activities are based on real research scenarios, requiring students to define problems, collect and evaluate data, train, and test models.

• AI Literacy Development: Helps students learn fundamental AI knowledge and applications by solving problems in areas such as climate, health, and science, while understanding how human judgment and data quality influence AI outcomes.

• Teacher Resources: Each quest includes complete lesson plans and teacher guides, with pre- and post-game activities to help educators better facilitate learning.

How to Use AI Quests

1. Access the Platform: Visit the official AI Quests website https://research.google/ai-quests/, register, and log in.

2. Choose a Quest: Select a quest based on the curriculum or interests, such as flood prediction or diabetic retinopathy detection.

3. Prepare for the Task: Teachers review the content and prepare teaching materials, while students read the task introduction carefully.

4. Complete the Quest: Students proceed step by step—defining the problem, collecting data, evaluating data, training models, testing models, and reflecting on improvements.

5. Watch Researcher Videos: After completing a quest, students watch video messages from Google researchers to see how AI is applied in real-world contexts.

Application Scenarios of AI Quests

• Education: Immersive adventures help students learn fundamental AI concepts and real-world applications.

• Climate Science: Students train AI models to predict floods using data such as rainfall and river flow.

• Healthcare: By analyzing medical images, students learn how AI can support medical diagnoses, enabling earlier disease detection and improved patient outcomes.

• Neuroscience: Students explore AI applications in neuroscience, such as mapping the brain to help scientists better understand brain function and structure.

• Teacher & Curriculum Integration: Assists educators in integrating AI education into classrooms, giving students hands-on experience in applying AI to real-world problems.