Integrating Generative AI Into K-12 Curriculums and Pedagogies in India

Author:

Sharma Durgesh M.1ORCID,Venkata Ramana K.2,Jothilakshmi R.3,Verma Rakesh4,Uma Maheswari B.5ORCID,Boopathi Sampath6ORCID

Affiliation:

1. Shri Ramdeobaba College of Engineering and Management, Nagpur, India

2. Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India

3. Department of Information Technology, R.M.D. Engineering College, India

4. Department of Master of Business Administration, Gniot MBA Institute, India

5. Department of Computer Science and Engineering, St. Joseph's College of Engineering, India

6. Mechanical Engineering, Muthayammal Engineering College, India

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.

Publisher

IGI Global

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