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Let's get into the main part. The approach - should it be all theoretical or completely practical? How to start? And more importantly, when to start?

1. Start with the basics

Students should first understand what AI is, how it works, and where it’s used. Have discussions and explain them

-How AI-powered voice assistants work like Alexa, Siri, Google Assistant, and more

-How Netflix and shopping apps give us personalized recommendations

-How self-driving cars work and how many industries are automated through AI.

The motive here should be to make AI more relatable and not just a new modern concept. If schools are able to do this, students grasp the significance quickly.

2. Try AI & robotics kits

Coding is a part of AI, but AI is also about building smart systems. Schools should integrate robotics kits that allow students to:

-Train AI models to recognize objects, sounds, and gestures

-Use AI-powered robotics to automate simple tasks

-Experiment with machine learning algorithms in real-world applications

These robotics kits for schools will actually help kids to learn even the most difficult concepts by doing. The complete process of learning will get more interactive and practical.

3. Implement AI in the school's curriculum

To make learning progressive throughout, schools must have a well-designed AI curriculum. For example

-For beginners, the curriculum must cover basic AI concepts & simple automation.

-At the intermediate level, students can start working with AI-based robotics projects.

-Advanced level demands for difficult problems. Here, students can learn how they can solve critical problems using AI, how to work with AI ethically, and all other real-world applications.

electronic device, personal computer, computer, gadget

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