Abstract
Generative artificial intelligence (AI) can revolutionize K-12 education in India by enhancing curriculums and pedagogies. This chapter explores the principles of generative AI, including generative adversarial networks (GANs), variational autoencoders (VAEs), and natural language generation (NLG), and its potential to create content indistinguishable from human-generated materials. Generative AI addresses challenges like resource scarcity, linguistic diversity, and personalized learning experiences, while emphasizing ethical considerations, data privacy, and bridging the digital divide. The future of K-12 education in India will see personalized learning journeys, inclusivity, and empowered educators. A comprehensive policy framework, infrastructure support, and teacher training are needed to realize the full potential of generative AI in shaping the educational landscape.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
