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AI: A Game changer for Education in Future

In a 2013 post, Facebook CEO Mark Zuckerberg created a "rough plan" to spread the world free, basic internet and "opportunity" and interconnection. But free of charge, the Internet now provides a technical service to take into account the impact of difficulties on society. A.I. is part of this one. What can be the results of AI in education?


Many consider the need to scale high quality education and look for AI powered tools for good reason. In India, the research community and the education policy makers collectively envision a set of grand challenges that better align education with our dreams.



We provide five goals for discussion, and invite people to join the conversation.


1. AI can be developed to support teachers and the education system by automating actions and developing stimulating problems rather than replacing teachers. Teachers A.I. Filters out useful instructions and the tools assist students' in grading and tracking.


2. To generate inspiring problems. AI can also help create and propagate interesting problems in local contexts. Machine learning can create paintings that look like Rembrandt’s creations. Can we use algorithms to create engaging, personal activities? This synthesis can establish a rich ecosystem of learning and learning with irreversible, social and emotional interactions through technology.


3. Inspiring, open-ended final assignments provide opportunities for research and creativity. AI can help teachers if designed appropriately to support and respond to such questions. However, current methods require a large number of student data sets to enable meaningful AI-based feedback on open-ended work. We need to learn to achieve this without consuming large amounts of student data.


4. Content distribution is uneven, especially for low-resource languages. Natural Language Processing, a branch of AI, is in a good position to support translation that can help provide universal education in those places and promote the development of educational technology created by communities in places imposed by the West.


5. AI is currently most effective in teaching rote, structured lessons rather than supporting the creative, open-ended, team-based learning needed for development in the modern world. The current line of research focuses on the process of understanding and the ability to learn rather than just the final product. It is impossible for a teacher, especially in a large classroom - to have focus on every student. AI-powered tools can work together with teachers to manage the process, while the teacher remains as a coach. A hybrid model group of artificial and human intelligence can help teachers gain intuition about the student process, making the teacher a coach and mentor.


Education in AI seems like a boon. However, it can only complement the teacher in the classroom, not replace them. As long as AI doesn't learn the creative process, it will remain a teaching aid.

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