What is AI Quests
AI Quests is a gamified educational tool jointly launched by the Google Research team 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 applications in the real world. Students take on the role of Google researchers and solve problems related to climate, health, and science. The first quest is flood prediction, and future quests will include diabetic retinopathy detection and brain mapping. Each quest comes with a lesson plan, teacher guide, and video messages from real researchers to help students understand the practical applications of AI.
Main features of AI Quests
- Immersive adventure learning: Through a gamified format, students are placed in a fantastical world, play the role of AI researchers, and complete a series of immersive adventures under the guidance of mentor Professor Skye.
- Quests based on real research scenarios: Students' core quests are based on real research scenarios: defining problems, collecting data, evaluating data, and training and testing models.
- Cultivating AI literacy: In the process of solving problems in fields such as climate, health, and science, students learn the fundamentals of AI and its applications, and understand the impact of human judgment and data quality on AI results.
- Providing teacher resources: Each quest comes with a complete lesson plan and teacher guide, including pre-game and post-game activities, to help teachers better guide students' learning.
How to use AI Quests
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Visit the platform: Visit the AI Quests official website https://research.google/ai-quests/，注册账号并登录。
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Choose a quest: Choose a quest based on the teaching plan or interest, such as flood prediction, diabetic retinopathy detection, etc.
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Quest preparation: Teachers need to become familiar with the quest content and prepare teaching materials, and students should carefully read the quest introduction.
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Complete the quest: Students complete the steps in order: defining the problem, collecting data, evaluating data, training the model, testing the model, and reflecting on improvements.
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Watch videos: After the quest ends, students watch videos from Google researchers to learn about the practical applications of AI.
Application scenarios of AI Quests
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Education field: Through immersive adventure activities, help students learn the fundamentals of artificial intelligence (AI) and its applications in the real world.
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Climate science: Students train AI models to predict floods by collecting data such as rainfall and river flow
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Health and medicine: By analyzing medical images, students learn how to use AI technology to assist medical diagnosis, help doctors detect diseases earlier, and improve patient treatment outcomes.
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Neuroscience: Let students understand the application of AI in neuroscience research, for example, using AI technology to map the brain, helping scientists better understand the brain's functions and structure.
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Teacher and curriculum integration: Help teachers integrate AI education into the classroom, so that students can learn AI technology through practice and apply it to solve real problems.