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To prepare students for an AI-driven future, schools should focus on developing both technical knowledge and broader skills that help students understand and use technology effectively.
Some important skills include:
Critical thinking: Students should learn to evaluate AI-generated information, identify errors, and question how AI systems reach conclusions.
Problem-solving: AI education can encourage students to break complex problems into smaller steps and develop practical solutions.
Coding and computational thinking: Basic programming and algorithmic thinking provide a strong foundation for understanding how AI systems work.
Data literacy: Students should understand how data is collected, organized, interpreted, and used by AI systems.