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The integration of Artificial Intelligence (AI) in school education in India presents both opportunities and challenges. Key policies like the National Strategy for Artificial Intelligence and the National Education Policy highlight the potential for personalized learning and administrative efficiency. However, disparities in access, infrastructure, and teacher training pose significant barriers to equitable educational delivery.
The proposed framework for AI preparedness aims to equip schools in India for effective AI integration. It addresses critical issues such as data privacy, algorithmic bias, and the need for responsible AI practices. Ultimately, the recommendations seek to enhance learning outcomes and foster an inclusive educational environment.
• AI integration in education can enhance personalized learning experiences.
• Challenges include data privacy concerns and algorithmic bias.
AI refers to the simulation of human intelligence in machines, which is relevant for personalized learning.
Data privacy concerns arise from the use of AI in education, impacting student information security.
Algorithmic bias refers to systematic errors in AI that can lead to unfair treatment in educational settings.
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